https://github.com/khu-vll/devias
공식 코드DEVIAS: Learning Disentangled Video Representations of Action and Scene
Papers with Code 아카이브
Video Recognition
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Video Recognition is a process of obtaining, processing, and analysing data that it receives from a visual source, specifically video.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/kingjamessong/fastdifferentiablematsqrt
공식 코드Fast Differentiable Matrix Square Root and Inverse Square Root
https://github.com/kpeng9510/vid2burn
공식 코드Should I take a walk? Estimating Energy Expenditure from Video Data
https://github.com/leaplabthu/adafocusv2
공식 코드AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition
https://github.com/leaplabthu/uni-adafocus
공식 코드Uni-AdaFocus: Spatial-temporal Dynamic Computation for Video Recognition
https://github.com/leexinhao/ZeroI2V
공식 코드ZeroI2V: Zero-Cost Adaptation of Pre-trained Transformers from Image to Video
https://github.com/liu-zhy/TANet
공식 코드https://github.com/liu-zhy/temporal-adaptive-module
공식 코드https://github.com/lovelyqian/AMeFu-Net
공식 코드Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition
https://github.com/lzhangbj/DualVar
공식 코드Inter-intra Variant Dual Representations forSelf-supervised Video Recognition
https://github.com/mark12ding/sta
공식 코드Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation
https://github.com/martinetoering/ViCC
공식 코드Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting
https://github.com/mcahny/vps
공식 코드https://github.com/mcg-nju/vit-tad
공식 코드Adapting Short-Term Transformers for Action Detection in Untrimmed Videos
https://github.com/mcg-nju/vlg
공식 코드https://github.com/mcg-nju/zeroi2v
공식 코드ZeroI2V: Zero-Cost Adaptation of Pre-trained Transformers from Image to Video
https://github.com/md-mohaiminul/ViS4mer
공식 코드Long Movie Clip Classification with State-Space Video Models
https://github.com/md-mohaiminul/objectstatechange
공식 코드https://github.com/md-mohaiminul/trans4mer
공식 코드Efficient Movie Scene Detection using State-Space Transformers
https://github.com/microsoft/VideoX/tree/master/X-CLIP
공식 코드Expanding Language-Image Pretrained Models for General Video Recognition
https://github.com/microsoft/videox
공식 코드Expanding Language-Image Pretrained Models for General Video Recognition
https://github.com/mindspore-lab/models
공식 코드No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding
https://github.com/mk-minchul/caface
공식 코드Cluster and Aggregate: Face Recognition with Large Probe Set
https://github.com/msracver/Deep-Feature-Flow
공식 코드https://github.com/msracver/Flow-Guided-Feature-Aggregation
공식 코드https://github.com/mxbi/youtube8m-2019
공식 코드Learning to Localize Temporal Events in Large-scale Video Data
https://github.com/nus-hpc-ai-lab/dynamic-tuning
공식 코드Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation
https://github.com/okankop/Dissected-3D-CNNs
공식 코드Dissected 3D CNNs: Temporal Skip Connections for Efficient Online Video Processing
https://github.com/open-mmlab/mmaction
공식 코드Omni-sourced Webly-supervised Learning for Video Recognition
https://github.com/opengvlab/efficient-video-recognition
공식 코드https://github.com/opengvlab/internvideo
공식 코드InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
https://github.com/opengvlab/internvideo2
공식 코드InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
https://github.com/orangeeji/3d-ace
공식 코드https://github.com/play-in-bush/had
공식 코드Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition
https://github.com/prgumd/0-MMS
공식 코드0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event Camera
https://github.com/pritamqu/vcrbench
공식 코드VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.