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/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/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

https://github.com/lizixing23/AMBOKD

공식 코드

Adaptive Modality Balanced Online Knowledge Distillation for Brain-Eye-Computer based Dim Object Detection

https://github.com/lizzy8587/castdet

공식 코드

Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning

https://github.com/ljacksonpan/ratrack

공식 코드

RaTrack: Moving Object Detection and Tracking with 4D Radar Point Cloud

https://github.com/lkeab/BCNet

공식 코드

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers

https://github.com/lliuz/mixteacher

공식 코드

MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection

https://github.com/lluckyyh/vt-ada

공식 코드

Vision Transformer-based Adversarial Domain Adaptation

https://github.com/lluisgomez/TextTopicNet

공식 코드

TextTopicNet - Self-Supervised Learning of Visual Features Through Embedding Images on Semantic Text Spaces

https://github.com/lmb-freiburg/locov

공식 코드

Localized Vision-Language Matching for Open-vocabulary Object Detection

https://github.com/lmb-freiburg/ovqa

공식 코드

Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy

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