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/hkust-aerial-robotics/slabim

FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

https://github.com/hl-hanlin/smkd

ImageNet Large Scale Visual Recognition Challenge

https://github.com/hll110/DIoU-darknet-master

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

https://github.com/hlld/cross-iteration-batch_normalization

Cross-Iteration Batch Normalization

https://github.com/hm7455/Anti-collision_Semantic-segmentation_

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

https://github.com/hmichaeli/alias_free_convnets

A ConvNet for the 2020s

https://github.com/hnmspirit/malaria_centernet

Objects as Points

https://github.com/hoaitrinh459/RobotNhatBongTennis

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/hoangcuongbk80/VoteGrasp

Deep Hough Voting for 3D Object Detection in Point Clouds

https://github.com/hoanguyen81190/Synopticon-CenterNet

Objects as Points

https://github.com/holdfire/CLS

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

https://github.com/holdfire/FAS

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

https://github.com/hollyprince/ObjectsDetection-CornerNet-Lite

CornerNet-Lite: Efficient Keypoint Based Object Detection

https://github.com/holyseven/PSPNet-TF-Reproduce

Pyramid Scene Parsing Network

https://github.com/holytrick/AlexeyAB_darknet

YOLO9000: Better, Faster, Stronger

https://github.com/hongfz16/DS-Net

Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

https://github.com/hongkunsun/paratranscnn

Deep Residual Learning for Image Recognition

https://github.com/hongru-seu/PointPilliar

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/hongyi-zhang/Fixup

Deep Residual Learning for Image Recognition

https://github.com/hope-yao/robust_attention_cifar

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/horrible-dong/teamdetr

DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

https://github.com/horse007666/ResNet

Deep Residual Learning for Image Recognition

https://github.com/hott-j/face-mask-detection

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/hou-yz/multiviewx

Multiview Detection with Feature Perspective Transformation

https://github.com/houqb/DSS

Deeply supervised salient object detection with short connections

https://github.com/houseleo/pointnet

Frustum PointNets for 3D Object Detection from RGB-D Data

https://github.com/houssemjebari/Fruit-Detection

Mask R-CNN

https://github.com/houstonsantos/CassavaLeafDisease

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

https://github.com/hova88/Lidardet

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/hova88/PointPillars_MultiHead_40FPS

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/howBiGaStorm/ZeroShot-YOLO

Zero-Shot Detection

https://github.com/howardyclo/maskrcnn-benchmark

RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free

https://github.com/hpc203/YOLObile-opencv-dnn

YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

https://github.com/hrdwsong/TDLMR2AA-Paddle

Towards Deep Learning Models Resistant to Adversarial Attacks

https://github.com/hsd1503/resnet1d

Deep Residual Learning for Image Recognition

https://github.com/hsfzxjy/swavx

End-to-End Object Detection with Transformers

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