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/ydhcg-bobo/stcmot

공식 코드

STCMOT: Spatio-Temporal Cohesion Learning for UAV-Based Multiple Object Tracking

https://github.com/yehli/imagenetmodel

공식 코드

Contextual Transformer Networks for Visual Recognition

https://github.com/yekeren/Cap2Det

공식 코드

Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection

https://github.com/yeliudev/catnet

공식 코드

Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images

https://github.com/yellowshippo/isogcn-iclr2021

공식 코드

Isometric Transformation Invariant and Equivariant Graph Convolutional Networks

https://github.com/yformer/EfficientSAM

공식 코드

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

https://github.com/ygjwd12345/UCD

공식 코드

Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation

https://github.com/yh-pengtu/FemtoDet

공식 코드

FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs

https://github.com/yhbcode000/Eloss-Interpretability

공식 코드

Entropy Loss: An Interpretability Amplifier of 3D Object Detection Network for Intelligent Driving

https://github.com/yhbcode000/MMDetection3D-Eloss

공식 코드

Eloss in the way: A Sensitive Input Quality Metrics for Intelligent Driving

https://github.com/yhc2021/avs-net

공식 코드

AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene Understanding

https://github.com/yhcao6/fadi

공식 코드

Few-Shot Object Detection via Association and DIscrimination

https://github.com/yhhhli/BRECQ

공식 코드

BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

https://github.com/yi94code/HRSOD

공식 코드

Towards High-Resolution Salient Object Detection

https://github.com/yichaoshen-ms/v-detr

공식 코드

V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection

https://github.com/yichen928/STRL

공식 코드

Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds

https://github.com/yichen928/geal_active_learning

공식 코드

Towards General and Efficient Active Learning

https://github.com/yichen928/sparsefusion

공식 코드

SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection

https://github.com/yiduohao/radical

공식 코드

Bootstrapping Autonomous Driving Radars with Self-Supervised Learning

https://github.com/yifanlu0227/coalign

공식 코드

Robust Collaborative 3D Object Detection in Presence of Pose Errors

https://github.com/yifanxu74/mq-det

공식 코드

Multi-modal Queried Object Detection in the Wild

https://github.com/yifanzhang713/ia-ssd

공식 코드

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds

https://github.com/yihongXU/TransCenter

공식 코드

TransCenter: Transformers with Dense Representations for Multiple-Object Tracking

https://github.com/yihongsun/mod-uv

공식 코드

MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos

https://github.com/yihui-he/KL-Loss

공식 코드

Bounding Box Regression with Uncertainty for Accurate Object Detection

https://github.com/yihui-he/softer-NMS

공식 코드

Bounding Box Regression with Uncertainty for Accurate Object Detection

https://github.com/yijingru/ASSD-Pytorch

공식 코드

ASSD: Attentive Single Shot Multibox Detector

https://github.com/yijingru/BBAVectors-Oriented-Object-Detection

공식 코드

Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors

https://github.com/yijingru/KG_Instance_Segmentation

공식 코드

Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes

https://github.com/yikaiw/TokenFusion

공식 코드

Multimodal Token Fusion for Vision Transformers

https://github.com/yikang-li/MSDN

공식 코드

Scene Graph Generation from Objects, Phrases and Region Captions

https://github.com/yilonglv/aid

공식 코드

Anchor-Intermediate Detector: Decoupling and Coupling Bounding Boxes for Accurate Object Detection

https://github.com/yimeng-fan/SFOD

공식 코드

SFOD: Spiking Fusion Object Detector

https://github.com/yimeng-fan/spikssd

공식 코드

SpikSSD: Better Extraction and Fusion for Object Detection with Spiking Neuron Networks

https://github.com/yinjunbo/3DVID

공식 코드

LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention

https://github.com/yinjunbo/is-fusion

공식 코드

IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection

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