Papers with Code 아카이브

Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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/qiu931110/Caffe_OHEM_SoftmaxLoss

Feature Intertwiner for Object Detection

https://github.com/qiwang233/dailydvs-200

GET: Group Event Transformer for Event-Based Vision

https://github.com/qnqnckck/efficient-pose

EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approach

https://github.com/qooba/aiscissors

U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection

https://github.com/qq330488563/TEST

Fast R-CNN

https://github.com/qq456cvb/Point-Transformers

Point Transformer

https://github.com/qq456cvb/VoteNet

Deep Hough Voting for 3D Object Detection in Point Clouds

https://github.com/qq456cvb/multi-stage-detection

Multi-Stage Reinforcement Learning For Object Detection

https://github.com/qqwweee/keras-yolo3

YOLOv3: An Incremental Improvement

https://github.com/qsyao/cuda_spatial_deform

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/quangvy2703/ABCNet-ESRGAN-SRTEXT

FCOS: Fully Convolutional One-Stage Object Detection

https://github.com/qubvel/efficientnet

Deep Residual Learning for Image Recognition

https://github.com/qubvel/resnet_152

Deep Residual Learning for Image Recognition

https://github.com/qubvel/segmentation_models

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/qubvel/segmentation_models.pytorch

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

https://github.com/quic/aimet-model-zoo

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

https://github.com/quocdat32461997/Mask_RCNN

Rich feature hierarchies for accurate object detection and semantic segmentation

https://github.com/qvdang-dev/Facial-Recognition

Max-Margin Object Detection

https://github.com/qvdang-dev/Facial-Recognizance

Max-Margin Object Detection

https://github.com/qw61116111/ECG

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/qwer10/CarDetection

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

https://github.com/qwopqwop200/MaxVIT-pytorch

MaxViT: Multi-Axis Vision Transformer

https://github.com/qwopqwop200/Neighborhood-Attention-Transformer

Neighborhood Attention Transformer

https://github.com/qwopqwop200/acon-tf2

Activate or Not: Learning Customized Activation

https://github.com/qwopqwop200/halonet-tf2

Scaling Local Self-Attention for Parameter Efficient Visual Backbones

https://github.com/qwopqwop200/pale-transformer-pytorch

Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention

https://github.com/r06942054/NOTE-RCNN

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

https://github.com/rabihchamas/dcls-gradcam-eval

Dilated convolution with learnable spacings

https://github.com/rabiulcste/vqazero

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

https://github.com/radioactiverockets/OpenPoseBreackoutGame

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

https://github.com/raghakot/keras-resnet

Deep Residual Learning for Image Recognition

https://github.com/rahowa/catboost_focal_loss

Focal Loss for Dense Object Detection

https://github.com/rahul-t-p/ASVspoof-2019

Deep Residual Learning for Image Recognition

https://github.com/rahul13ramesh/cloud_understanding

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/rahul1728jha/Object_Detection_Yolov2

YOLO9000: Better, Faster, Stronger

https://github.com/rahulchaurasiya1/cautious-waddle

Deep Residual Learning for Image Recognition

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