Papers with Code 아카이브

2D Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

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/laughtervv/DepthAwareCNN

공식 코드

Depth-aware CNN for RGB-D Segmentation

https://github.com/laughtervv/SGPN

공식 코드

SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation

https://github.com/laurimi/ddcrp-gibbs

공식 코드

Object proposal generation applying the distance dependent Chinese restaurant process

https://github.com/layneh/greenmim

공식 코드

Green Hierarchical Vision Transformer for Masked Image Modeling

https://github.com/lbktrinh/DRU

공식 코드

Dynamic Retraining-Updating Mean Teacher for Source-Free Object Detection

https://github.com/lc012463/tanet

공식 코드

TANet: Transformer-based Asymmetric Network for RGB-D Salient Object Detection

https://github.com/lchen001/hapi

공식 코드

HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions

https://github.com/ldkong1205/Robo3D

공식 코드

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

https://github.com/ldtho/pifenet

공식 코드

Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar Network

https://github.com/leaplabthu/agent-attention

공식 코드

Agent Attention: On the Integration of Softmax and Linear Attention

https://github.com/leaplabthu/dat

공식 코드

Vision Transformer with Deformable Attention

https://github.com/leaplabthu/deep-incubation

공식 코드

Deep Incubation: Training Large Models by Divide-and-Conquering

https://github.com/leaplabthu/dynamic_perceiver

공식 코드

Dynamic Perceiver for Efficient Visual Recognition

https://github.com/leaplabthu/lasnet

공식 코드

Latency-aware Spatial-wise Dynamic Networks

https://github.com/leaplabthu/model-assembling

공식 코드

Deep Incubation: Training Large Models by Divide-and-Conquering

https://github.com/leaplabthu/rank-detr

공식 코드

Rank-DETR for High Quality Object Detection

https://github.com/leeheewon-01/yolostratifiedkfold

공식 코드

Improving the performance of object detection by preserving label distribution

https://github.com/leenamx/ge-fsod

공식 코드

Generalization-Enhanced Few-Shot Object Detection in Remote Sensing

https://github.com/lefteyex/u-decn

공식 코드

U-DECN: End-to-End Underwater Object Detection ConvNet with Improved DeNoising Training

https://github.com/lehommee/DPDnet-A-robust-people-detector-using-deep-learning-with-an-overhead-depth-camera

공식 코드

DPDnet: A Robust People Detector using Deep Learning with an Overhead Depth Camera

https://github.com/leileilei2000/lasfnet

공식 코드

LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection

https://github.com/leipingjie/samshadow

공식 코드

When SAM Meets Shadow Detection

https://github.com/leixiaofeng-astar/omia9-zian

공식 코드

Localizing Anatomical Landmarks in Ocular Images using Zoom-In Attentive Networks

https://github.com/leiyi-hu/mona

공식 코드

Adapter is All You Need for Tuning Visual Tasks

https://github.com/lengmo1996/ECDM

공식 코드

Data Generation Scheme for Thermal Modality with Edge-Guided Adversarial Conditional Diffusion Model

https://github.com/leofansq/QUEST

공식 코드

QUEST: Query Stream for Practical Cooperative Perception

https://github.com/leofansq/spidermesh

공식 코드

SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic Segmentation

https://github.com/leon1207/video-rag-master

공식 코드

Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension

https://github.com/leonlha/pso-convnet-dynamics

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PSO-Convolutional Neural Networks with Heterogeneous Learning Rate

https://github.com/leotam/MIMIC-CXR-annotations

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Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies

https://github.com/leoxiaobin/deep-high-resolution-net.pytorch

공식 코드

Deep High-Resolution Representation Learning for Human Pose Estimation

https://github.com/levan92/occlusion-copy-paste

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Humans need not label more humans: Occlusion Copy & Paste for Occluded Human Instance Segmentation

https://github.com/lewismmason/Thesis-Public

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K-Origins: Better Colour Quantification for Neural Networks

https://github.com/lexisnexis-risk-open-source/ledetection

공식 코드

LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object Detection

https://github.com/lexisnexis-risk-open-source/simltd

공식 코드

SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection

https://github.com/lgcnsai/ps-kd-pytorch

공식 코드

Self-Knowledge Distillation with Progressive Refinement of Targets

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