https://github.com/yunqing-me/attackvlm
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Papers with Code 아카이브
Activity Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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Human Activity Recognition is the problem of identifying events performed by humans given a video input. It is formulated as a binary (or multiclass) classification problem of outputting activity class labels. Activity Recognition is an important problem with many societal applications including smart surveillance, video search/retrieval, intelligent robots, and other monitoring systems.
Source: Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yururyuru00/GAT_pyG
https://github.com/yuuun/clip_pytorch
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/yyk-wew/semanticmim
Masked Feature Prediction for Self-Supervised Visual Pre-Training
https://github.com/yz-cnsdqz/TemporalActionParsing-FineGrained
Temporal Convolutional Networks for Action Segmentation and Detection
https://github.com/zaeemzadeh/Active-Learning-UCF101-IPM
https://github.com/zaeemzadeh/IPM
https://github.com/zc-alexfan/arctic
Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects
https://github.com/zepingyu0512/in-context-mechanism
https://github.com/zgx0534/pointnet_win
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/zhangbo2008/GAT_network
https://github.com/zhanglab-aim/cancer-net
https://github.com/zhangxu0963/npc
Learning Transferable Visual Models From Natural Language Supervision
https://github.com/zhao-tong/GNNs-easy-to-use
https://github.com/zhaolongkzz/human_motion
https://github.com/zhengshou/AutoLoc
Temporal Localization of Fine-Grained Actions in Videos by Domain Transfer from Web Images
https://github.com/zhenyangli/VideoLSTM
VideoLSTM Convolves, Attends and Flows for Action Recognition
https://github.com/zhiqiang00/Hon-GCN
Semi-Supervised Classification with Graph Convolutional Networks
https://github.com/zhixinlai/llmboostmedical
Frozen Transformers in Language Models Are Effective Visual Encoder Layers
https://github.com/zhoubolei/TRN-pytorch
https://github.com/zhoubolei/moments_models
Moments in Time Dataset: one million videos for event understanding
https://github.com/zhuysheng/rvtclr
https://github.com/ziwei-zheng/nullu
Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity
https://github.com/znxlwm/pytorch-mnist-celeba-cgan-cdcgan
https://github.com/znxlwm/tensorflow-MNIST-cGAN-cDCGAN
https://github.com/zsef123/EfficientNets-PyTorch
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/zwtu/YOWO-Paddle
You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization
https://github.com/zwx8981/tcsvt-2022-bvqa
Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception
https://github.com/zxhhh97/ABot
https://github.com/zzy123abc/BSN-boundary-sensitive-network-master
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation
https://gitlab.com/birder/birder
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://huggingface.co/spaces/DFisch/Image-Manipulation-Detection
DF-Net: The Digital Forensics Network for Image Forgery Detection
https://zenodo.org/record/8142658
DF-Net: The Digital Forensics Network for Image Forgery Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.