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2D Classification

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코드

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

https://github.com/hli2020/zoom_network

공식 코드

Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection

https://github.com/hlings/acrofod

공식 코드

AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection

https://github.com/hlsheng1/ct3d

공식 코드

Improving 3D Object Detection with Channel-wise Transformer

https://github.com/hlsheng1/ct3d-plusplus

공식 코드

CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise Transformer

https://github.com/hlsheng1/rdiou

공식 코드

Rethinking IoU-based Optimization for Single-stage 3D Object Detection

https://github.com/hltchkust/framing-bias-metric

공식 코드

NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias

https://github.com/hmarichal93/apd

공식 코드

Automatic Wood Pith Detector: Local Orientation Estimation and Robust Accumulation

https://github.com/hmc-cs159-fall2018/final-project-team-mvp-10000

공식 코드

Harvey Mudd College at SemEval-2019 Task 4: The Clint Buchanan Hyperpartisan News Detector

https://github.com/hmosousa/gpt_struct_me

공식 코드

GPT Struct Me: Probing GPT Models on Narrative Entity Extraction

https://github.com/hmph/dynamically-instantiated-network

공식 코드

Pixelwise Instance Segmentation with a Dynamically Instantiated Network

https://github.com/hms97/evd4uav

공식 코드

EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV

https://github.com/hmsch/natural-synthetic-anomalies

공식 코드

Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization

https://github.com/hnu-vis/datacrafter

공식 코드

Human-Guided Image Generation for Expanding Small-Scale Training Image Datasets

https://github.com/hnuzhy/bpjdet

공식 코드

BPJDet: Extended Object Representation for Generic Body-Part Joint Detection

https://github.com/hnuzhy/directmhp

공식 코드

DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles

https://github.com/hnuzhy/fcos_pose

공식 코드

Student Dangerous Behavior Detection in School

https://github.com/hnuzhy/jointbdoe

공식 코드

Joint Multi-Person Body Detection and Orientation Estimation via One Unified Embedding

https://github.com/hnuzhy/ssda-yolo

공식 코드

SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection

https://github.com/hoangcongduc/ensolver

공식 코드

EnSolver: Uncertainty-Aware Ensemble CAPTCHA Solvers with Theoretical Guarantees

https://github.com/hoenigpeter/randomized_texturing

공식 코드

Shape-biased Texture Agnostic Representations for Improved Textureless and Metallic Object Detection and 6D Pose Estimation

https://github.com/hoiliu-0801/dntr

공식 코드

A DeNoising FPN With Transformer R-CNN for Tiny Object Detection

https://github.com/hoiliu-0801/dq-detr

공식 코드

DQ-DETR: DETR with Dynamic Query for Tiny Object Detection

https://github.com/hoiliu-0801/monotakd

공식 코드

MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object Detection

https://github.com/hollow-503/unim2ae

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UniM$^2$AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving

https://github.com/holms-ur/fine-tuning

공식 코드

The Benefits of Close-Domain Fine-Tuning for Table Detection in Document Images

https://github.com/hologerry/Attr2Font

공식 코드

Attribute2Font: Creating Fonts You Want From Attributes

https://github.com/hologerry/SoCo

공식 코드

Aligning Pretraining for Detection via Object-Level Contrastive Learning

https://github.com/holzbock/dfbf

공식 코드

Data-Free Backbone Fine-Tuning for Pruned Neural Networks

https://github.com/homles11/IGCV3

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IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks

https://github.com/hon-wong/ptseformer

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PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object Detection

https://github.com/hong-xian/backdoor-attack

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Generalization Bound and New Algorithm for Clean-Label Backdoor Attack

https://github.com/hongyehu/RG-Flow

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RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior

https://github.com/horsepurve/StyleSegor

공식 코드

Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data

https://github.com/hosang/detection-proposals

공식 코드

How good are detection proposals, really?

https://github.com/hou-yz/MVDet

공식 코드

Multiview Detection with Feature Perspective Transformation

https://github.com/hou-yz/mvdetr

공식 코드

Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)

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