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Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Hwang64/MLKP
공식 코드Multi-scale Location-aware Kernel Representation for Object Detection
https://github.com/Hydragon516/PMN
공식 코드Unsupervised Video Object Segmentation via Prototype Memory Network
https://github.com/I2-Multimedia-Lab/A2S-v3
공식 코드Unified Unsupervised Salient Object Detection via Knowledge Transfer
https://github.com/I2RDL2/ASTAR-3D
공식 코드A*3D Dataset: Towards Autonomous Driving in Challenging Environments
https://github.com/IBM/BigLittleNet
공식 코드Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
https://github.com/IDEA-Research/detrex
공식 코드Enhanced Training of Query-Based Object Detection via Selective Query Recollection
https://github.com/INFINIQ-AI1/RISF
공식 코드Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
https://github.com/IPapakis/GCNNMatch
공식 코드GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization
https://github.com/IRVLUTD/FewSOL-DataLoader
공식 코드FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
https://github.com/IRVLUTD/fewsol-toolkit
공식 코드FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
https://github.com/IRVLUTD/meta-dataset
공식 코드FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
https://github.com/ISEE-Technology/lidar-with-velocity
공식 코드https://github.com/IVRL/Tempsal
공식 코드TempSAL -- Uncovering Temporal Information for Deep Saliency Prediction
https://github.com/IkeaASM/IKEA_ASM_Dataset
공식 코드The IKEA ASM Dataset: Understanding People Assembling Furniture through Actions, Objects and Pose
https://github.com/IlyaOvodov/AngelinaDataset
공식 코드https://github.com/Improbable-AI/dexenv
공식 코드https://github.com/InnovArul/vidreid_cosegmentation
공식 코드Co-segmentation Inspired Attention Module for Video-based Computer Vision Tasks
https://github.com/IntelLabs/pytorchalfi
공식 코드https://github.com/IssamLaradji/CBStyling
공식 코드Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation
https://github.com/IuliiaSaveleva/ALFA
공식 코드ALFA: Agglomerative Late Fusion Algorithm for Object Detection
https://github.com/JCZ404/Semi-DETR
공식 코드Semi-DETR: Semi-Supervised Object Detection with Detection Transformers
https://github.com/JDAI-CV/LIO
공식 코드Look-into-Object: Self-supervised Structure Modeling for Object Recognition
https://github.com/JHKim-snu/PGA
공식 코드PGA: Personalizing Grasping Agents with Single Human-Robot Interaction
https://github.com/Jacoo-ai/HIC-Yolov5
공식 코드https://github.com/Jakaria08/Filter_Enhance_Detect
공식 코드https://github.com/Jamie725/RGBT-detection
공식 코드https://github.com/JanMatas/Rainbow_ddpg
공식 코드Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
https://github.com/Jarvisgivemeasuit/tagood
공식 코드https://github.com/JasonQSY/3DOI
공식 코드https://github.com/JensBayer/transferability
공식 코드Network transferability of adversarial patches in real-time object detection
https://github.com/Jhyun17/DeYO
공식 코드Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors
https://github.com/Jia-Research-Lab/SA-AutoAug
공식 코드https://github.com/JialianW/Forest_RCNN
공식 코드Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation
https://github.com/JialianW/GRiT
공식 코드GRiT: A Generative Region-to-text Transformer for Object Understanding
https://github.com/JialianW/TraDeS
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.