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/rmkemker/RIT-18

공식 코드

Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning

https://github.com/rnjtsh/graphical-object-detector

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Graphical Object Detection in Document Images

https://github.com/ro-ya-cv4africa/acvsurvey

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The State of Computer Vision Research in Africa

https://github.com/roatienza/agmax

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Improving Model Generalization by Agreement of Learned Representations from Data Augmentation

https://github.com/robert-xiaoqiang/ds-net

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Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images

https://github.com/robertwyq/frustum

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FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D Detection

https://github.com/robertwyq/lsmol

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4D Unsupervised Object Discovery

https://github.com/robertwyq/panoocc

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PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation

https://github.com/robingerster7/ossa

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OSSA: Unsupervised One-Shot Style Adaptation

https://github.com/roboflow-ai/roboflow-100-benchmark

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Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark

https://github.com/roboflow/rf100-vl

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Roboflow100-VL: A Multi-Domain Object Detection Benchmark for Vision-Language Models

https://github.com/robotic-vision-lab/Deep-Ensembles-For-Probabilistic-Object-Detection

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An Uncertainty Estimation Framework for Probabilistic Object Detection

https://github.com/robotology/online-detection

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Fast Region Proposal Learning for Object Detection for Robotics

https://github.com/robustinsight/constscene

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ConstScene: Dataset and Model for Advancing Robust Semantic Segmentation in Construction Environments

https://github.com/rohit901/cooperative-foundational-models

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Enhancing Novel Object Detection via Cooperative Foundational Models

https://github.com/rolnicklab/fomo-bench

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FoMo-Bench: a multi-modal, multi-scale and multi-task Forest Monitoring Benchmark for remote sensing foundation models

https://github.com/rolnicklab/imagenetbiodiversity

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Bugs in the Data: How ImageNet Misrepresents Biodiversity

https://github.com/rongyaofang/feataug-detr

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FeatAug-DETR: Enriching One-to-Many Matching for DETRs with Feature Augmentation

https://github.com/rossqin/RQNet

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A Real-time Low-cost Artificial Intelligence System for Autonomous Spraying in Palm Plantations

https://github.com/roth-hex-lab/asdf

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ASDF: Assembly State Detection Utilizing Late Fusion by Integrating 6D Pose Estimation

https://github.com/row11n/prova

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Comprehensive Multi-Modal Prototypes are Simple and Effective Classifiers for Vast-Vocabulary Object Detection

https://github.com/roymiles/simple-recipe-distillation

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Understanding the Role of the Projector in Knowledge Distillation

https://github.com/roymiles/vkd

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$V_kD:$ Improving Knowledge Distillation using Orthogonal Projections

https://github.com/rozumden/FMODetect

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FMODetect: Robust Detection of Fast Moving Objects

https://github.com/rpmsnu/srgb-tir

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Edge-guided Multi-domain RGB-to-TIR image Translation for Training Vision Tasks with Challenging Labels

https://github.com/rsCPSyEu/ovd_cod

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Open-vocabulary vs. Closed-set: Best Practice for Few-shot Object Detection Considering Text Describability

https://github.com/rsangers/explainable_perception

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Explainability of Deep Learning models for Urban Space perception

https://github.com/rssl-mtu/enhancement-detection-analysis

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Beneath the Surface: The Role of Underwater Image Enhancement in Object Detection

https://github.com/rst-tu-dortmund/lerojd

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LEROjD: Lidar Extended Radar-Only Object Detection

https://github.com/rsummers11/CADLab

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3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection

https://github.com/rubbbbbbbbby/swinoir

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Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy

https://github.com/rubbish001/co-fix3d

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Co-Fix3D: Enhancing 3D Object Detection with Collaborative Refinement

https://github.com/rucv/SGNet

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SGNet: A Super-class Guided Network for Image Classification and Object Detection

https://github.com/rucv/golf_ball

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Efficient Golf Ball Detection and Tracking Based on Convolutional Neural Networks and Kalman Filter

https://github.com/rui-qian/SoTA-3D-Object-Detection

공식 코드

3D Object Detection for Autonomous Driving: A Survey

https://github.com/rui-qian/badet

공식 코드

BADet: Boundary-Aware 3D Object Detection from Point Clouds

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