Papers with Code 아카이브
Action Localization
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Action Localization is finding the spatial and temporal co ordinates for an action in a video. An action localization model will identify which frame an action start and ends in video and return the x,y coordinates of an action. Further the co ordinates will change when the object performing action undergoes a displacement.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/xpq-tech/code-llmedit
공식 코드https://github.com/xpq-tech/keti
공식 코드Identifying Knowledge Editing Types in Large Language Models
https://github.com/xpq-tech/pmet
공식 코드https://github.com/xpq-tech/swea
공식 코드SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering
https://github.com/xrenaa/safety-aware-motion-prediction
공식 코드Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
https://github.com/xushenlz/parksim
공식 코드https://github.com/xuyankun/stvig-for-reads-v
공식 코드VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG
https://github.com/xuyankun/vsvig
공식 코드VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG
https://github.com/xuyizdby/noiseerasar
공식 코드https://github.com/xxh43/ukmd
공식 코드Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape Collections
https://github.com/y-zheng18/gimo
공식 코드https://github.com/yabufarha/ms-tcn
공식 코드MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation
https://github.com/yandex-research/shifts
공식 코드Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks
https://github.com/yangle15/DyFADet-pytorch
공식 코드DyFADet: Dynamic Feature Aggregation for Temporal Action Detection
https://github.com/yangzhenkui/witalk
공식 코드Talk is Not Always Cheap: Promoting Wireless Sensing Models with Text Prompts
https://github.com/yanhui002/video_adv
공식 코드https://github.com/yaohui120/comprehendedit
공식 코드ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing
https://github.com/yaoli/arctic-capgen-vid
공식 코드https://github.com/yassersouri/MuCon
공식 코드Fast Weakly Supervised Action Segmentation Using Mutual Consistency
https://github.com/ybdai7/NAMET-massive-editing
공식 코드NAMET: Robust Massive Model Editing via Noise-Aware Memory Optimization
https://github.com/ycwfs/fmi-tal
공식 코드https://github.com/yellowtownhz/STIGCN
공식 코드Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action Recognition
https://github.com/yf-li15/DisenHCN
공식 코드DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction
https://github.com/yfsong0709/EfficientGCNv1
공식 코드Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition
https://github.com/yfsong0709/RA-GCNv2
공식 코드Richly Activated Graph Convolutional Network for Robust Skeleton-based Action Recognition
https://github.com/yfzhang/vehicle-motion-forecasting
공식 코드https://github.com/yhZhai/WSCL
공식 코드Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning
https://github.com/yijieyang23/skelet-gcn
공식 코드Expressive Keypoints for Skeleton-based Action Recognition via Skeleton Transformation
https://github.com/yilliajing/action-ood
공식 코드https://github.com/yilliajing/skeleton-ood
공식 코드https://github.com/yingsen1/unimd
공식 코드UniMD: Towards Unifying Moment Retrieval and Temporal Action Detection
https://github.com/yiskw713/asrf
공식 코드Alleviating Over-segmentation Errors by Detecting Action Boundaries
https://github.com/yjiangcm/lte
공식 코드https://github.com/yjxiong/action-detection
공식 코드A Pursuit of Temporal Accuracy in General Activity Detection
https://github.com/yjxiong/caffe
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.