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Video Classification

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Video Classification is the task of producing a label that is relevant to the video given its frames. A good video level classifier is one that not only provides accurate frame labels, but also best describes the entire video given the features and the annotations of the various frames in the video. For example, a video might contain a tree in some frame, but the label that is central to the video might be something else (e.g., “hiking”). The granularity of the labels that are needed to describe the frames and the video depends on the task. Typical tasks include assigning one or more global labels to the video, and assigning one or more labels for each frame inside the video.

Source: Efficient Large Scale Video Classification

논문

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Video Classification

논문

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Efficient Multiscale Multimodal Bottleneck Transformer for Audio-Video Classification

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Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments

Neural architecture impact on identifying temporally extended Reinforcement Learning tasks

Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding

Language as the Medium: Multimodal Video Classification through text only

Differentiable Resolution Compression and Alignment for Efficient Video Classification and Retrieval

AV-MaskEnhancer: Enhancing Video Representations through Audio-Visual Masked Autoencoder

Text-to-feature diffusion for audio-visual few-shot learning

Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer Models

MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis

Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution

The Staged Knowledge Distillation in Video Classification: Harmonizing Student Progress by a Complementary Weakly Supervised Framework

Active Learning for Video Classification with Frame Level Queries

Learning Unseen Modality Interaction

Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers

Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos

Multi-label Video Classification for Underwater Ship Inspection

Malicious or Benign? Towards Effective Content Moderation for Children's Videos

Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception

HateMM: A Multi-Modal Dataset for Hate Video Classification

Verbs in Action: Improving verb understanding in video-language models

SparseFormer: Sparse Visual Recognition via Limited Latent Tokens

Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting

NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression

SELF-VS: Self-supervised Encoding Learning For Video Summarization

Unified Keypoint-based Action Recognition Framework via Structured Keypoint Pooling

Selective Structured State-Spaces for Long-Form Video Understanding

The effectiveness of MAE pre-pretraining for billion-scale pretraining