Papers with Code 아카이브
Object Detection
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/qjadud1994/TricubeNet
공식 코드TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection
https://github.com/qq456cvb/CanonicalVoting
공식 코드Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes
https://github.com/qtacierp/prior
공식 코드PRIOR: Prototype Representation Joint Learning from Medical Images and Reports
https://github.com/quan-dao/apro3d-net
공식 코드Attention-based Proposals Refinement for 3D Object Detection
https://github.com/quan-dao/pc-corrector
공식 코드Aligning Bird-Eye View Representation of Point Cloud Sequences using Scene Flow
https://github.com/quan-dao/practical-collab-perception
공식 코드Practical Collaborative Perception: A Framework for Asynchronous and Multi-Agent 3D Object Detection
https://github.com/quangle2110/GAN_Mask-RCNN
공식 코드Instance Semantic Segmentation Benefits from Generative Adversarial Networks
https://github.com/qujx/ddnet
공식 코드https://github.com/quotation2520/pg-rcnn
공식 코드PG-RCNN: Semantic Surface Point Generation for 3D Object Detection
https://github.com/qxgeng/dea-net
공식 코드Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images
https://github.com/qy-feng/CRN
공식 코드https://github.com/qy1994-0919/cfpnet
공식 코드https://github.com/qyh-bit/hsod-bit-v2
공식 코드HSOD-BIT-V2: A New Challenging Benchmarkfor Hyperspectral Salient Object Detection
https://github.com/r3ab/ttpla_dataset
공식 코드TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines
https://github.com/radar-lab/transrad
공식 코드TransRAD: Retentive Vision Transformer for Enhanced Radar Object Detection
https://github.com/radetzkyli/multi-v2x
공식 코드Multi-V2X: A Large Scale Multi-modal Multi-penetration-rate Dataset for Cooperative Perception
https://github.com/radetzkyli/trajyolo-ssd
공식 코드https://github.com/radlab-sketch/Event-SNN-Resources
공식 코드https://github.com/raember/yolov5r_autodidact
공식 코드Video object detection for privacy-preserving patient monitoring in intensive care
https://github.com/raghavendersahdev/Free-Space
공식 코드Free Space Estimation using Occupancy Grids and Dynamic Object Detection
https://github.com/ragib-amin-nihal/c2a
공식 코드https://github.com/raileye3d/raileye3d_dataset
공식 코드RGB-D Railway Platform Monitoring and Scene Understanding for Enhanced Passenger Safety
https://github.com/rainbow-xiao/olor-aaai-2024
공식 코드https://github.com/rainbowluocs/diffusiontrack
공식 코드https://github.com/raminaghods/NATS
공식 코드Multi-Agent Active Search using Realistic Depth-Aware Noise Model
https://github.com/ramtin-ma/videosynopsis-fgs
공식 코드A Low-Computational Video Synopsis Framework with a Standard Dataset
https://github.com/ranchosky/oan
공식 코드Fewer is More: Efficient Object Detection in Large Aerial Images
https://github.com/rango-zhang-hang/ntu-visual-recognition-via-vision-language-model-transfer
공식 코드M&M3D: Multi-Dataset Training and Efficient Network for Multi-view 3D Object Detection
https://github.com/raoyongming/denseclip
공식 코드DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
https://github.com/raoyongming/hornet
공식 코드HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions
https://github.com/rapisurazurite/camodiffusion
공식 코드CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models
https://github.com/rasd3/3D-Dual-Fusion
공식 코드3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection
https://github.com/rasd3/toda
공식 코드Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object Detection
https://github.com/rayguan97/M3DeTR
공식 코드M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
https://github.com/rayleizhu/biformer
공식 코드BiFormer: Vision Transformer with Bi-Level Routing Attention
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.