Papers with Code 아카이브

Object Detection

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하위 태스크

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평가표

124

보존된 평가 기록

977

코드

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

https://github.com/haithink/myWindowsDarknet

YOLO9000: Better, Faster, Stronger

https://github.com/haiyang-w/git

UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation

https://github.com/hamdaan19/NavGuide

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/hamed-ahangari/Separation-Index-of-convolutional-layers-in-EfficientNet-B0

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/hamidriasat/-Computer-Vision-and-Deep-Learning

You Only Look Once: Unified, Real-Time Object Detection

https://github.com/hamidriasat/BASNet

Boundary-Aware Segmentation Network for Mobile and Web Applications

https://github.com/hamidriasat/Computer-Vision-and-Deep-Learning

You Only Look Once: Unified, Real-Time Object Detection

https://github.com/hampen2929/CenterTrack

Tracking Objects as Points

https://github.com/hamzaMahdi/darknet

YOLO9000: Better, Faster, Stronger

https://github.com/hanfried/hanfried-bookmarks

A ConvNet for the 2020s

https://github.com/hangg7/deformable-kernels

Deformable Convolutional Networks

https://github.com/hanghang177/pedestrian_awareness

YOLOv3: An Incremental Improvement

https://github.com/hangkongbei/mmdetection

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/hankpark0706/darknet

YOLO9000: Better, Faster, Stronger

https://github.com/hankyul2/maxvit-pytorch

MaxViT: Multi-Axis Vision Transformer

https://github.com/hanoonaR/object-centric-ovd

Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

https://github.com/hanouticelina/deformable-DETR

Deformable DETR: Deformable Transformers for End-to-End Object Detection

https://github.com/haochen593/PCA-Fuse_RGBD_CVPR18

https://github.com/haonanguo/remote-sensing-chatgpt

Deep Residual Learning for Image Recognition

https://github.com/haosulab/ManiSkill-Learn

Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

https://github.com/haozheliu-st/point-beyond-class

Points as Queries: Weakly Semi-supervised Object Detection by Points

https://github.com/happinesslz/TANet

TANet: Robust 3D Object Detection from Point Clouds with Triple Attention

https://github.com/happytianhao/tade

DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets

https://github.com/happywu/Sequence-Level-Semantics-Aggregation

Sequence Level Semantics Aggregation for Video Object Detection

https://github.com/haratzouvara/image_restoration

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/harinath0906/Object-Detection-using-PyTorch

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

https://github.com/harinath0906/Wheat-Head-Detection-using-PyTorch

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

https://github.com/harishhirthi/Indian-Traffic-Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/harrybolingot/mymaskrcnn

Mask R-CNN

https://github.com/harsh-jadhav/SIIM-Pneumothorax-Case-Study2

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/harsh2011/Yolov3-Detector

YOLOv3: An Incremental Improvement

https://github.com/harsh2912/people-tracking

FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking

https://github.com/harshalsonioo1/hpe

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

https://github.com/harshit0511/Deep-Learning

Squeeze-and-Excitation Networks

https://github.com/harshm121/m3l

Multimodal Token Fusion for Vision Transformers

https://github.com/hasanirtiza/PedesFormer-SwinTransformer-For-Pedestrian-Detection

Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond

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