"SIViDet: Salient Image for Efficient Weaponized Violence Detection. (arXiv:2207.12850v4 [cs.CV] UPDATED)" — A new dataset that contains videos depicting weaponized violence, non-weaponized violence, and non-violent events; and a proposal for a novel data-centric method that arranges video frames into salient images while minimizing information loss for comfortable inference by SOTA image classifiers.

Paper: http://arxiv.org/abs/2207.12850
Code: https://github.com/Ti-Oluwanimi/Violence_Detection

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Salient Image: A sequence of vi…

"BridgeTower: Building Bridges Between Encoders in Vision-Language Representation Learning. (arXiv:2206.08657v3 [cs.CV] UPDATED)" — A proposal for multiple bridge layers that build a connection between the top layers of uni-modal encoders and each layer of the cross-modal encoder.

Paper: http://arxiv.org/abs/2206.08657
Code: https://github.com/microsoft/BridgeTower

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(a) – (d) are four categories o…

"Text-To-4D Dynamic Scene Generation. (arXiv:2301.11280v1 [cs.CV])" — A method for generating three-dimensional dynamic scenes from text descriptions which uses a 4D dynamic Neural Radiance Field (NeRF), which is optimized for scene appearance, density, and motion consistency by querying a Text-to-Video (T2V) diffusion-based model.

Paper: http://arxiv.org/abs/2301.11280

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Samples generated by MAV3D alon…

"BiBench: Benchmarking and Analyzing Network Binarization. (arXiv:2301.11233v1 [cs.CV])" — A rigorously designed benchmark with in-depth analysis for network binarization where they scrutinize the requirements of binarization in the actual production and define evaluation tracks and metrics for a comprehensive investigation.

Paper: http://arxiv.org/abs/2301.11233

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Evaluation tracks of BiBench. O…

"Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models. (arXiv:2301.11189v1 [eess.IV])" — A non-binary discriminator that is conditioned on quantized local image representations obtained via VQ-VAE autoencoders, for lossy image compression.

Paper: http://arxiv.org/abs/2301.11189

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Comparison of distortion vs. st…

"Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge Transferring. (arXiv:2301.11116v1 [cs.CV])" — A look at temporal modeling in the context of image-to-video knowledge transferring, which is the key point for extending image-text pretrained models to the video domain.

Paper: http://arxiv.org/abs/2301.11116

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(a) Illustration of temporal mo…

"Explaining Visual Biases as Words by Generating Captions. (arXiv:2301.11104v1 [cs.LG])" — Diagnosing the potential biases in image classifiers by leveraging two types (generative and discriminative) of pre-trained vision-language models to describe the visual bias as a word.

Paper: http://arxiv.org/abs/2301.11104

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Concept of the proposed bias-to…

"Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based Disparities. (arXiv:2301.11100v1 [cs.CV])" — An exploration of the extent to which zero-shot vision-language models exhibit gender bias for different vision tasks.

Paper: http://arxiv.org/abs/2301.11100

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(a) The average precision (AP) …

"simple diffusion: End-to-end diffusion for high resolution images. (arXiv:2301.11093v1 [cs.CV])" — Improve denoising diffusion for high resolution images while keeping the model as simple as possible and obtaining performance comparable to the latent diffusion-based approaches?

Paper: http://arxiv.org/abs/2301.11093

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A dslr photo of a frog wearing…

Another of my fluid abstractions. 'Awestruck.' Think I should just call them my restlessness series since i only draw them when I'm stuck wanting to do 5 things at once and not being able to prioritize. #mastoart #abstract #illustration

I went to two exhibits this week; one by Sidne Teske, and another by Phyllis Shafer; my second visit before the show closes tomorrow. So fortunate to have opportunities to see amazing artwork in person. Always make me want to hurry home and get to work in my studio. Artwork is hard work.

#MastoArt #fediart #womensart #artistsonmastodon

"Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning. (arXiv:2301.11063v1 [cs.CV])" — A method to reduce the parameters and FLOPs for computational efficiency in deep learning models by introducing accuracy and efficiency coefficients to control the trade-off between the accuracy of the network and its computing efficiency.

Paper: http://arxiv.org/abs/2301.11063

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Reward at varying Accuracies an…

"Explore the Power of Dropout on Few-shot Learning. (arXiv:2301.11015v1 [cs.CV])" — An exploration of the power of the dropout regularization technique on few-shot learning and provide some insights about how to use it.

Paper: http://arxiv.org/abs/2301.11015

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The generalization power of tra…

"On the Importance of Noise Scheduling for Diffusion Models. (arXiv:2301.10972v1 [cs.CV])" — A study of the effect of noise scheduling strategies for denoising diffusion generative models which finds that the noise scheduling is crucial for performance.

Paper: http://arxiv.org/abs/2301.10972

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Random samples generated by our…

"ITstyler: Image-optimized Text-based Style Transfer. (arXiv:2301.10916v1 [cs.CV])" — A data-efficient text-based style transfer method that does not require optimization at the inference stage where the text input is converted to the style space of the pre-trained VGG network to realize a more effective style swap.

Paper: http://arxiv.org/abs/2301.10916

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Overview stylization results of…

"Distilling Cognitive Backdoor Patterns within an Image. (arXiv:2301.10908v1 [cs.LG])" — A simple method to distill and detect backdoor patterns within an image by extracting the "minimal essence" from an input image responsible for the model's prediction.

Paper: http://arxiv.org/abs/2301.10908
Code: https://github.com/HanxunH/CognitiveDistillation

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On the left, First row: a clean…

A total of 55 papers in the cs.CV category on arXiv.org today — 44 new, 11 updated.

And off we go to see the wonderful wiz ... erm ... wrong one ... off we go to read the papers 😛

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I told a friend that her skin looked fabulous. She said “thanks, I grew it myself.“ This is exactly the kind of person I strive diligently to keep around me.

It’s a beautiful daily routine tiptoeing down to the #pond to supplement the native frog #tadpoles’ diet in the early mornings.

Luckily, the everyday #harvest of fresh #greens for lunch includes their favorite (baby spinach). Many other greens are growing, but regular hand picking allows spells for regrowth, and we only plant what will actually grow in this environment. Some are volunteers. Today’s harvest in midsummer coastal #Australia includes:

Spinach, silver beet, kale, rocket, cress, sorrel, Asian greens, spring onion, basil, parsley, sage, rosemary, thyme, coriander, mint, nasturtium, leek, green beans, tomato, capsicum, baby eggplant, radish, edible flowers, together with a handful of wild greens grown mostly to attract beneficial insects with their flowers.

Orchard #Swallowtail caterpillars have appeared on the citrus, to increase the neighborhood butterfly population.

#Gardening #FreshGreens #Organic #WildGreens #NoChemicals #EdibleFlowers #Tadpoles #Butterflies #Habitat

I’m extremely pleased with Tusker so far. I can’t come up with specifics as to why it’s such a great experience, but after having tried multiple Mastodon clients (on macOS, web, and iOS) this is the first one that I’m so happy with.

I’ve done some tweaks to the UI so far and there is a bunch of other things that I (or the wife) want tweaked, but even without the pending tweaks, I’m happier with the overall experience of Tusker than I’ve been with any of the other clients I’ve tried 🙂

I just need to get some of these issues fixed (like not being able to use the emoji picker in the post editor) and I’ll be golden!