Papers with Code 아카이브

Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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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/vietanhdev/open-adas

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/vietdhoang/resnet-18

Deep Residual Learning for Image Recognition

https://github.com/viethungluu/OCRetina

Focal Loss for Dense Object Detection

https://github.com/vietlinhtspt/NewFasterRCNN

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

https://github.com/viibridges/crossnet

Cross-View Image Matching for Geo-localization in Urban Environments

https://github.com/vijaylaxmid/DeepLearning_3DPointClouds

Deep Learning for 3D Point Clouds: A Survey

https://github.com/vijayvee/behavior-recognition

Going Deeper with Convolutions

https://github.com/vijayvee/behavior_recognition

Going Deeper with Convolutions

https://github.com/vikashchalla123/mmdet_b1.2.0_fork

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/vikrant7/mobile-vod-bottleneck-lstm

Mobile Video Object Detection with Temporally-Aware Feature Maps

https://github.com/vikrant7/pytorch-looking-fast-and-slow

Looking Fast and Slow: Memory-Guided Mobile Video Object Detection

https://github.com/vimalabs/VIMA

Mask R-CNN

https://github.com/vinay-EIP/EIP-session-5-assignment

Deep Residual Learning for Image Recognition

https://github.com/vincenthancoder/ssgd

SSGD: A smartphone screen glass dataset for defect detection

https://github.com/vincentzhang/faster-rcnn-fcn

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

https://github.com/vineeths96/Gradient-Compression

Deep Residual Learning for Image Recognition

https://github.com/vineeths96/heterogeneous-systems

Deep Residual Learning for Image Recognition

https://github.com/vinliao/object-detection-python

YOLO9000: Better, Faster, Stronger

https://github.com/vinod377/STN-OCR

Deep Residual Learning for Image Recognition

https://github.com/vinod377/STN-OCR-Tensorflow

Deep Residual Learning for Image Recognition

https://github.com/vinthony/s2am

CBAM: Convolutional Block Attention Module

https://github.com/virabehnam/CAMELYON16-Breast-Cancer-Detection

Detecting Cancer Metastases on Gigapixel Pathology Images

https://github.com/virajprabhu/pacmac

Masked Autoencoders Are Scalable Vision Learners

https://github.com/vishal3477/proactive-object-detection

PrObeD: Proactive Object Detection Wrapper

https://github.com/vishalned/MMEarth-train

ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders

https://github.com/visiblesensors/caffe-ssd

SSD: Single Shot MultiBox Detector

https://github.com/vision-agh/pointpillars_backbone

Exploring Data Augmentation for Multi-Modality 3D Object Detection

https://github.com/visionNoob/hrnet_pytorch

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/visionxlab/earth-adapter

RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark

https://github.com/visionxlab/lrs-vqa

FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery

https://github.com/viskjha/Wrong-way-vehicle-detection

YOLOv3: An Incremental Improvement

https://github.com/vita-epfl/monstereo

MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation

https://github.com/vita-epfl/rock-pytorch

SSD: Single Shot MultiBox Detector

https://github.com/vivek20dadhich/deep-learning-object-detection

SSD: Single Shot MultiBox Detector

https://github.com/vladan-stojnic/Detection-of-Small-Flying-Objects-in-UAV-Videos

https://github.com/vladthesav/MoldAI

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

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