https://github.com/automl/GoLU
공식 코드Gompertz Linear Units: Leveraging Asymmetry for Enhanced Learning Dynamics
Papers with Code 아카이브
2D Object Detection
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/automl/NASLib
공식 코드https://github.com/autonomousvision/good
공식 코드GOOD: Exploring Geometric Cues for Detecting Objects in an Open World
https://github.com/autonomousvision/transfuser
공식 코드Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
https://github.com/aveeslab/r-tod
공식 코드R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving
https://github.com/avinres/mwirstd
공식 코드https://github.com/avishags422/phantomsponges
공식 코드Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors
https://github.com/avrahamraviv/formal-verification-of-object-detection
공식 코드Formal Verification of Deep Neural Networks for Object Detection
https://github.com/awaisrauf/borg
공식 코드BOrg: A Brain Organoid-Based Mitosis Dataset for Automatic Analysis of Brain Diseases
https://github.com/axin1301/satellite-imagery-dataset
공식 코드A Satellite Imagery Dataset for Long-Term Sustainable Development in United States Cities
https://github.com/ayanban011/graphkd
공식 코드https://github.com/aybora/CVPR2020-Anti-UAV-OGAM-Correction
공식 코드https://github.com/aybora/Semi-Automatic-Video-Annotation-OGAM
공식 코드https://github.com/aymanbegh/benchmarking-performance
공식 코드Benchmarking performance of object detection under image distortions in an uncontrolled environment
https://github.com/aymanbegh/cd-coco
공식 코드CD-COCO: A Versatile Complex Distorted COCO Database for Scene-Context-Aware Computer Vision
https://github.com/aymanbegh/hybrid-gcnn-cnn
공식 코드https://github.com/ayushjain1144/SeeingByMoving
공식 코드Move to See Better: Self-Improving Embodied Object Detection
https://github.com/azadis/LDDP
공식 코드https://github.com/azhuantou/hssda
공식 코드Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection
https://github.com/azuma164/defense-prefix
공식 코드https://github.com/b-faye/lightmdetr
공식 코드A Lightweight Modular Framework for Low-Cost Open-Vocabulary Object Detection Training
https://github.com/baaivision/eva
공식 코드EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
https://github.com/baneitixiaomai/mirv
공식 코드Mutual Information Regularization for Weakly-supervised RGB-D Salient Object Detection
https://github.com/bardia-az/ppa-code
공식 코드Privacy-Preserving Autoencoder for Collaborative Object Detection
https://github.com/barisbatuhan/dass_det_inference
공식 코드Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings
https://github.com/barisbatuhan/dass_detector
공식 코드Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings
https://github.com/barwojcik/hard_hats
공식 코드Hard hat wearing detection based on head keypoint localization
https://github.com/baurst/liso
공식 코드https://github.com/baxiyi/dut-useg
공식 코드https://github.com/bbdjj/CGCOD
공식 코드https://github.com/bbepoch/HoiTransformer
공식 코드End-to-End Human Object Interaction Detection with HOI Transformer
https://github.com/bcmi/Awesome-Weak-Shot-Learning
공식 코드Weak Novel Categories without Tears: A Survey on Weak-Shot Learning
https://github.com/bcmi/tramas-weak-shot-object-detection
공식 코드Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity
https://github.com/bcv-uniandes/stride
공식 코드STRIDE: Street View-based Environmental Feature Detection and Pedestrian Collision Prediction
https://github.com/bdd100k/bdd100k
공식 코드BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
https://github.com/beckschen/transmix
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.