Papers with Code 아카이브

Object Detection

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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/cybercore-co-ltd/Single-Stage-Common-Object-Detection

공식 코드

Single Stage Class Agnostic Common Object Detection: A Simple Baseline

https://github.com/cybercore-co-ltd/colad_paper

공식 코드

Improving Object Detection by Label Assignment Distillation

https://github.com/cyprienquemeneur/fedpylot

공식 코드

FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles

https://github.com/czczup/vit-adapter

공식 코드

Vision Transformer Adapter for Dense Predictions

https://github.com/czhang0528/MosaicOS

공식 코드

MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection

https://github.com/czm369/mixpl

공식 코드

Mixed Pseudo Labels for Semi-Supervised Object Detection

https://github.com/d-li14/HBONet

공식 코드

HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions

https://github.com/d-robotics-ai-lab/dosod

공식 코드

A Light-Weight Framework for Open-Set Object Detection with Decoupled Feature Alignment in Joint Space

https://github.com/dadung/dge-cda

공식 코드

Assessing Domain Gap for Continual Domain Adaptation in Object Detection

https://github.com/daeunfullgrace/dyra

공식 코드

DyRA: Portable Dynamic Resolution Adjustment Network for Existing Detectors

https://github.com/daijifeng001/r-fcn

공식 코드

R-FCN: Object Detection via Region-based Fully Convolutional Networks

https://github.com/dair-iitd/degpr

공식 코드

DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting

https://github.com/daishiresearch/transnext

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TransNeXt: Robust Foveal Visual Perception for Vision Transformers

https://github.com/daitranskku/aic2024-track4-team15

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Low-Light Image Enhancement Framework for Improved Object Detection in Fisheye Lens Datasets

https://github.com/daixinghome/Distill_GID_detectron2

공식 코드

General Instance Distillation for Object Detection

https://github.com/damaggu/tadp

공식 코드

Text-image Alignment for Diffusion-based Perception

https://github.com/damo-cv/GiraffeDet

공식 코드

GiraffeDet: A Heavy-Neck Paradigm for Object Detection

https://github.com/damo-cv/elsa

공식 코드

ELSA: Enhanced Local Self-Attention for Vision Transformer

https://github.com/danfenghong/ieee_tip_uiu-net

공식 코드

UIU-Net: U-Net in U-Net for Infrared Small Object Detection

https://github.com/danhntd/FS-CDIS

공식 코드

The Art of Camouflage: Few-Shot Learning for Animal Detection and Segmentation

https://github.com/daniel-xsy/bev-attack

공식 코드

On the Adversarial Robustness of Camera-based 3D Object Detection

https://github.com/daniel3303/storyreasoning

공식 코드

StoryReasoning Dataset: Using Chain-of-Thought for Scene Understanding and Grounded Story Generation

https://github.com/danielgol/hme-vas

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Recognizing Handwritten Mathematical Expressions of Vertical Addition and Subtraction

https://github.com/danjos95/dade

공식 코드

DaDe: Delay-adaptive Detector for Streaming Perception

https://github.com/daoyuan98/odm

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Chairs Can be Stood on: Overcoming Object Bias in Human-Object Interaction Detection

https://github.com/darrenjkt/SEE-VCN

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Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection

https://github.com/darrenjkt/ms3d

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MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object Detection

https://github.com/darrenqu/sicp

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SiCP: Simultaneous Individual and Cooperative Perception for 3D Object Detection in Connected and Automated Vehicles

https://github.com/dataiku-research/transferability_metrics_for_object_detection

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Transferability Metrics for Object Detection

https://github.com/datamllab/bed_camera

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BED: A Real-Time Object Detection System for Edge Devices

https://github.com/datamllab/bed_gui

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BED: A Real-Time Object Detection System for Edge Devices

https://github.com/datamllab/bed_main

공식 코드

BED: A Real-Time Object Detection System for Edge Devices

https://github.com/datongjie/bevspread

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BEVSpread: Spread Voxel Pooling for Bird's-Eye-View Representation in Vision-based Roadside 3D Object Detection

https://github.com/datvuthanh/HybridNets

공식 코드

HybridNets: End-to-End Perception Network

https://github.com/daveishan/codamal

공식 코드

CodaMal: Contrastive Domain Adaptation for Malaria Detection in Low-Cost Microscopes

https://github.com/david-svitov/AmphibianDetector

공식 코드

AmphibianDetector: adaptive computation for moving objects detection

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