Papers with Code 아카이브

2D Object Detection

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하위 태스크

15

평가표

20

보존된 평가 기록

57

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/xiaomabufei/skdf

공식 코드

SKDF: A Simple Knowledge Distillation Framework for Distilling Open-Vocabulary Knowledge to Open-world Object Detector

https://github.com/xiaomoguhz/declip

공식 코드

DeCLIP: Decoupled Learning for Open-Vocabulary Dense Perception

https://github.com/xiaomoguhz/ov-dquo

공식 코드

OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects Supervision

https://github.com/xiaoqi-zhao-dlut/mmft

공식 코드

Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction

https://github.com/xiaoqi-zhao-dlut/sslsod

공식 코드

Self-Supervised Pretraining for RGB-D Salient Object Detection

https://github.com/xiaoqi-zhao-dlut/x-ray-pbd

공식 코드

Towards Automatic Power Battery Detection: New Challenge, Benchmark Dataset and Baseline

https://github.com/xiaow-liu/sdcfusion

공식 코드

Rethinking the Evaluation of Visible and Infrared Image Fusion

https://github.com/xiaoyihan6/fsdmethod

공식 코드

Fire and Smoke Detection with Burning Intensity Representation

https://github.com/xieenze/DetCo

공식 코드

DetCo: Unsupervised Contrastive Learning for Object Detection

https://github.com/xieenze/PolarMask

공식 코드

PolarMask: Single Shot Instance Segmentation with Polar Representation

https://github.com/xifen523/cod

공식 코드

Towards Consistent Object Detection via LiDAR-Camera Synergy

https://github.com/xijie-xiang/event-temporal-up-sampling

공식 코드

Temporal Up-Sampling for Asynchronous Events

https://github.com/xin-ran-w/capagent

공식 코드

From Simple to Professional: A Combinatorial Controllable Image Captioning Agent

https://github.com/xingaoli/dp-hoi

공식 코드

Disentangled Pre-training for Human-Object Interaction Detection

https://github.com/xinge008/Cylinder3D

공식 코드

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

https://github.com/xinge008/SSN

공식 코드

SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds

https://github.com/xinghaochen/DECO

공식 코드

DECO: Query-Based End-to-End Object Detection with ConvNets

https://github.com/xinghaochen/slab

공식 코드

SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization

https://github.com/xingmingyu123456/knowledgeswapping

공식 코드

Knowledge Swapping via Learning and Unlearning

https://github.com/xingyizhou/CenterNet

공식 코드

Objects as Points

https://github.com/xingyizhou/CenterNet2

공식 코드

Probabilistic two-stage detection

https://github.com/xingyizhou/CenterTrack

공식 코드

Tracking Objects as Points

https://github.com/xingyizhou/ExtremeNet

공식 코드

Bottom-up Object Detection by Grouping Extreme and Center Points

https://github.com/xingyizhou/UniDet

공식 코드

Simple multi-dataset detection

https://github.com/xingyu-group/3d-density-resampling-sdg

공식 코드

Domain Generalization of 3D Object Detection by Density-Resampling

https://github.com/xinliu20/mec

공식 코드

Self-Supervised Learning via Maximum Entropy Coding

https://github.com/xinshuoweng/mono3D_PLiDAR

공식 코드

Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud

https://github.com/xinw1012/cycle-confusion

공식 코드

Robust Object Detection via Instance-Level Temporal Cycle Confusion

https://github.com/xinzhuma/3dodi-survey

공식 코드

3D Object Detection from Images for Autonomous Driving: A Survey

https://github.com/xinzhuma/monodle

공식 코드

Delving into Localization Errors for Monocular 3D Object Detection

https://github.com/xiuqhou/Salience-DETR

공식 코드

Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement

https://github.com/xiuqhou/relation-detr

공식 코드

Relation DETR: Exploring Explicit Position Relation Prior for Object Detection

https://github.com/xjock/deeplebv3plus-hedplus

공식 코드

DV3+HED+: A DCNNs-based Framework to Monitor Temporary Works and ESAs in Railway Construction Project Using VHR Satellite Images

https://github.com/xjtlu-cvlab/3drom

공식 코드

3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization

https://github.com/xjtu-haolin/point_assisted_sample_selection

공식 코드

Leveraging Anchor-based LiDAR 3D Object Detection via Point Assisted Sample Selection

https://github.com/xk-huang/segment-caption-anything

공식 코드

Segment and Caption Anything

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