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/linwei-chen/lis

공식 코드

Instance Segmentation in the Dark

https://github.com/linxuewu/sparse4d

공식 코드

Sparse4D: Multi-view 3D Object Detection with Sparse Spatial-Temporal Fusion

https://github.com/liruilong940607/OCHumanApi

공식 코드

Pose2Seg: Detection Free Human Instance Segmentation

https://github.com/liruilong940607/Pose2Seg

공식 코드

Pose2Seg: Detection Free Human Instance Segmentation

https://github.com/lisavilalee/scaresnet_mmdet

공식 코드

SCAResNet: A ResNet Variant Optimized for Tiny Object Detection in Transmission and Distribution Towers

https://github.com/littlepey/ptpm

공식 코드

Semi-supervised 3D Object Detection with PatchTeacher and PillarMix

https://github.com/liuchen1997/rfaconv

공식 코드

RFAConv: Innovating Spatial Attention and Standard Convolutional Operation

https://github.com/liudongyang6/fcfd

공식 코드

Function-Consistent Feature Distillation

https://github.com/liuliu-55/rofusion

공식 코드

ROFusion: Efficient Object Detection using Hybrid Point-wise Radar-Optical Fusion

https://github.com/liuwei16/CSP

공식 코드

Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection

https://github.com/liuweijie19980216/DRL-for-FSOD

공식 코드

Dynamic Relevance Learning for Few-Shot Object Detection

https://github.com/liuxingbin/dbot

공식 코드

Exploring Target Representations for Masked Autoencoders

https://github.com/liuxinhai/FG3D-Net

공식 코드

Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions

https://github.com/liuyang-ict/sap-detr

공식 코드

SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency

https://github.com/liuyi1989/pwrf

공식 코드

Part-Whole Relational Fusion Towards Multi-Modal Scene Understanding

https://github.com/liuyi1989/seamless-detection

공식 코드

Seamless Detection: Unifying Salient Object Detection and Camouflaged Object Detection

https://github.com/liuzhu-cv/paif

공식 코드

PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation

https://github.com/liuziyu77/rar

공식 코드

RAR: Retrieving And Ranking Augmented MLLMs for Visual Recognition

https://github.com/liuziyu77/visual-rft

공식 코드

Visual-RFT: Visual Reinforcement Fine-Tuning

https://github.com/liuzywen/cod

공식 코드

Boosting Camouflaged Object Detection with Dual-Task Interactive Transformer

https://github.com/liuzywen/hrtransnet

공식 코드

HRTransNet: HRFormer-Driven Two-Modality Salient Object Detection

https://github.com/liuzywen/lfscribble

공식 코드

LFSamba: Marry SAM with Mamba for Light Field Salient Object Detection

https://github.com/liuzywen/rgbtscribble-icme2023

공식 코드

Scribble-Supervised RGB-T Salient Object Detection

https://github.com/liuzywen/ssfam

공식 코드

SSFam: Scribble Supervised Salient Object Detection Family

https://github.com/liuzywen/swinnet

공식 코드

SwinNet: Swin Transformer drives edge-aware RGB-D and RGB-T salient object detection

https://github.com/liuzywen/tritransnet

공식 코드

TriTransNet: RGB-D Salient Object Detection with a Triplet Transformer Embedding Network

https://github.com/liwei109/sepvit

공식 코드

SepViT: Separable Vision Transformer

https://github.com/lixiaotong97/mc-beit

공식 코드

mc-BEiT: Multi-choice Discretization for Image BERT Pre-training

https://github.com/lixilinx/MCMIL

공식 코드

A Multiclass Multiple Instance Learning Method with Exact Likelihood

https://github.com/liyih/corenet

공식 코드

CoreNet: Conflict Resolution Network for Point-Pixel Misalignment and Sub-Task Suppression of 3D LiDAR-Camera Object Detection

https://github.com/liyih/rctrans

공식 코드

RCTrans: Radar-Camera Transformer via Radar Densifier and Sequential Decoder for 3D Object Detection

https://github.com/liyunfenglyf/kf_in_underwater_trackers

공식 코드

Underwater Object Tracker: UOSTrack for Marine Organism Grasping of Underwater Vehicles

https://github.com/liyunfenglyf/uostrack

공식 코드

Underwater Object Tracker: UOSTrack for Marine Organism Grasping of Underwater Vehicles

https://github.com/liyunsheng13/dpp

공식 코드

Should All Proposals be Treated Equally in Object Detection?

https://github.com/liz66666/gpa3d

공식 코드

GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds

https://github.com/lizhuoling/voxelformer-public

공식 코드

VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object Detection

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