Papers with Code 아카이브

Object Detection

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전체 기법전체 데이터셋

하위 태스크

39

평가표

124

보존된 평가 기록

977

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/Bartzi/loans

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LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks

https://github.com/BathVisArtData/PeopleArt

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Detecting People in Artwork with CNNs

https://github.com/Benzlxs/tDBN

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Three-dimensional Backbone Network for 3D Object Detection in Traffic Scenes

https://github.com/BichenWuUCB/squeezeDet

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SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

https://github.com/Bissmella/Small-object-detection-transformers

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Multimodal Transformer Using Cross-Channel attention for Object Detection in Remote Sensing Images

https://github.com/BoPang1996/TubeTK

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TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model

https://github.com/Bob-cheng/MDE_Attack

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Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches

https://github.com/Boese0601/2021-National-Underwater-Robotics-Vision-Optics

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CDNet is all you need: Cascade DCN based underwater object detection RCNN

https://github.com/Bohao-Lee/CME

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Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection

https://github.com/Boshrakh/Yolov8-Small-Object-Detection-Arial-Images

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SOD-YOLOv8 -- Enhancing YOLOv8 for Small Object Detection in Traffic Scenes

https://github.com/Breakend/TemporalYolo

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Underwater Multi-Robot Convoying using Visual Tracking by Detection

https://github.com/BrunoSauvalle/AST

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Unsupervised Multi-object Segmentation Using Attention and Soft-argmax

https://github.com/BryanPlummer/phrase_detection

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Revisiting Image-Language Networks for Open-ended Phrase Detection

https://github.com/BubblyYi/MMPedestron

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When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset

https://github.com/CAIC-AD/YOLOPv2

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YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception

https://github.com/CAMMA-public/ConvLSTM-Surgical-Tool-Tracker

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Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos

https://github.com/CAMMA-public/cholect50

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CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detection

https://github.com/CAPTAIN-WHU/iSAID_Devkit

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iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images

https://github.com/CASIA-IVA-Lab/ACSL

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Adaptive Class Suppression Loss for Long-Tail Object Detection

https://github.com/CASIA-IVA-Lab/DPT

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DPT: Deformable Patch-based Transformer for Visual Recognition

https://github.com/CHENGEZ/Attacking-by-Aligning

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Attacking by Aligning: Clean-Label Backdoor Attacks on Object Detection

https://github.com/CPFL/Autoware

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LMNet: Real-time Multiclass Object Detection on CPU using 3D LiDAR

https://github.com/CPJKU/cyolo_score_following

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Multi-modal Conditional Bounding Box Regression for Music Score Following

https://github.com/CQU-ADHRI-Lab/MI-DETR

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MI-DETR: An Object Detection Model with Multi-time Inquiries Mechanism

https://github.com/CQUlearningsystemgroup/YicongPeng

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MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time

https://github.com/CSIPlab/context-aware-attacks

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Context-Aware Transfer Attacks for Object Detection

https://github.com/CSL-KU/firesim-nvdla

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Integrating NVIDIA Deep Learning Accelerator (NVDLA) with RISC-V SoC on FireSim

https://github.com/CVMI-Lab/ST3D

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ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection

https://github.com/CVMI-Lab/SlotCon

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Self-Supervised Visual Representation Learning with Semantic Grouping

https://github.com/Caoang327/vis_det

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Inverting and Understanding Object Detectors

https://github.com/Caojunxu/AC-FPN

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Attention-guided Context Feature Pyramid Network for Object Detection

https://github.com/CarloSgaravatti/HybridLateCascadeFusion

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A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object Detection

https://github.com/Cc-Hy/CMKD

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Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection

https://github.com/Championchess/Tri-Layer_Plugin_Occluded_Detection

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A Tri-Layer Plugin to Improve Occluded Detection

https://github.com/Chasel-Tsui/mmdet-aitod

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Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark

https://github.com/ChenJoya/dropit

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DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.