https://github.com/nerminsamet/houghnet
공식 코드HoughNet: Integrating near and long-range evidence for visual detection
Papers with Code 아카이브
Video Object Detection
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Video object detection is the task of detecting objects from a video as opposed to images.
<span style="color:grey; opacity: 0.6">( Image credit: Learning Motion Priors for Efficient Video Object Detection )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/noreenanwar/stf-module
공식 코드STF: Spatio-Temporal Fusion Module for Improving Video Object Detection
https://github.com/open-mmlab/mmtracking
공식 코드https://github.com/qianyuzqy/TransVOD_Lite
공식 코드TransVOD: End-to-End Video Object Detection with Spatial-Temporal Transformers
https://github.com/raember/yolov5r_autodidact
공식 코드Video object detection for privacy-preserving patient monitoring in intensive care
https://github.com/ranchosky/oan
공식 코드Fewer is More: Efficient Object Detection in Large Aerial Images
https://github.com/roboflow-ai/roboflow-100-benchmark
공식 코드Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark
https://github.com/sabrikhalil/micro_mobility_detection
공식 코드https://github.com/tensorflow/models/tree/master/research/lstm_object_detection
공식 코드Looking Fast and Slow: Memory-Guided Mobile Video Object Detection
https://github.com/theimad/cricket-image-segmentation
공식 코드https://github.com/ufukertenli/streamdeq-code
공식 코드https://github.com/yinjunbo/3DVID
공식 코드https://github.com/yuhengsss/yolov
공식 코드YOLOV: Making Still Image Object Detectors Great at Video Object Detection
https://github.com/zhengbo-zhang/fade
공식 코드FADE: A Dataset for Detecting Falling Objects around Buildings in Video
https://github.com/AlbertoSabater/Robust-and-efficient-post-processing-for-video-object-detection
Robust and Efficient Post-Processing for Video Object Detection (REPP)
https://github.com/AlphaGoMK/arxiv-explorer
Plug & Play Convolutional Regression Tracker for Video Object Detection
https://github.com/BR-IDL/PaddleViT/tree/develop/self_supervised_learning/dino
https://github.com/Elstuhn/Video-object-detection-by-location-anticipation
Objects do not disappear: Video object detection by single-frame object location anticipation
https://github.com/Expedit-LargeScale-Vision-Transformer/Expedit-DINO
https://github.com/LiangSiyuan21/Adversarial-Attacks-for-Image-and-Video-Object-Detection/tree/master/img_attack_with_attention
Transferable Adversarial Attacks for Image and Video Object Detection
https://github.com/Malik1998/VSTAM
https://github.com/McDo/LightFlowPytorch
https://github.com/MindSpore-scientific/code-7/tree/main/dino
https://github.com/OML-Team/open-metric-learning
https://github.com/PaParaZz1/TemporalShiftModule
TSM: Temporal Shift Module for Efficient Video Understanding
https://github.com/PaddlePaddle/PASSL
https://github.com/PaddlePaddle/PaddleDetection
https://github.com/PaddlePaddle/PaddleVideo/blob/develop/docs/zh-CN/model_zoo/recognition/pp-tsm.md
TSM: Temporal Shift Module for Efficient Video Understanding
https://github.com/TRAILab/ST-SLidR
https://github.com/WavesUR/embedded_TSM
TSM: Temporal Shift Module for Efficient Video Understanding
https://github.com/adrienangeli/dino
https://github.com/ahmedelmahy/myownvit
https://github.com/alibaba/EasyCV
https://github.com/alijavidani/local_global_representation_learning
https://github.com/anonymous20210106/attack_detector
Transferable Adversarial Attacks for Image and Video Object Detection
https://github.com/beresandras/contrastive-classification-keras
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.