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2D Classification

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전체 기법전체 데이터셋

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보존된 평가 기록

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코드

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

https://github.com/xtLyu/CrossBA

공식 코드

Cross-Context Backdoor Attacks against Graph Prompt Learning

https://github.com/xtarx/StainGAN

공식 코드

StainGAN: Stain Style Transfer for Digital Histological Images

https://github.com/xternalz/AE-WTN

공식 코드

Scaling Object Detection by Transferring Classification Weights

https://github.com/xu1998hz/ssl_kba_expert_layman_style_transfer

공식 코드

Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer

https://github.com/xuan-zw/lkpnr

공식 코드

LKPNR: LLM and KG for Personalized News Recommendation Framework

https://github.com/xubaixinxbx/3dheads

공식 코드

Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View Settings

https://github.com/xubaixinxbx/high-fidelity-3d-reconstruction-of-human-heads

공식 코드

Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View Settings

https://github.com/xudangliatiger/ape-loss

공식 코드

Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection

https://github.com/xuebinqin/DIS

공식 코드

Highly Accurate Dichotomous Image Segmentation

https://github.com/xuefusiji/badrefsr

공식 코드

BadRefSR: Backdoor Attacks Against Reference-based Image Super Resolution

https://github.com/xuekai-zhu/storytrans_public

공식 코드

StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing

https://github.com/xueliancheng/hybridstereonet-main

공식 코드

Deep Laparoscopic Stereo Matching with Transformers

https://github.com/xuesong39/dac

공식 코드

Doubly Abductive Counterfactual Inference for Text-based Image Editing

https://github.com/xuewenyuan/TGRNet

공식 코드

TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition

https://github.com/xuez-phd/efficient-rgb-t-early-fusion-detection

공식 코드

Rethinking Early-Fusion Strategies for Improved Multispectral Object Detection

https://github.com/xuez-phd/tfdet

공식 코드

TFDet: Target-Aware Fusion for RGB-T Pedestrian Detection

https://github.com/xunhuang1995/AdaIN-style

공식 코드

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

https://github.com/xuqiongkai/ALTER

공식 코드

ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation

https://github.com/xushilin1/dst-det

공식 코드

DST-Det: Simple Dynamic Self-Training for Open-Vocabulary Object Detection

https://github.com/xuxw98/backtoreality

공식 코드

Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement

https://github.com/xuxw98/dspdet3d

공식 코드

3D Small Object Detection with Dynamic Spatial Pruning

https://github.com/xuyangbai/transfusion

공식 코드

TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers

https://github.com/xuyingzhongguo/mcx-api

공식 코드

Learning Pairwise Interaction for Generalizable DeepFake Detection

https://github.com/xuzhez/mapseg

공식 코드

MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling

https://github.com/xvjiarui/GCNet

공식 코드

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

https://github.com/xwmaxwma/tinyvim

공식 코드

TinyViM: Frequency Decoupling for Tiny Hybrid Vision Mamba

https://github.com/xxxinhong/detoxification_llm

공식 코드

Learning from Response not Preference: A Stackelberg Approach for LLM Detoxification using Non-parallel Data

https://github.com/xy-guo/LIGA-Stereo

공식 코드

LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector

https://github.com/xyliu339/osdd

공식 코드

One-Step Diffusion Model for Image Motion-Deblurring

https://github.com/y2863/MetaGraspNet

공식 코드

MetaGraspNet_v0: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse Synthesis

https://github.com/yahidar/radarformer

공식 코드

RadarFormer: Lightweight and Accurate Real-Time Radar Object Detection Model

https://github.com/yale-nlp/mdcure

공식 코드

MDCure: A Scalable Pipeline for Multi-Document Instruction-Following

https://github.com/yale-nlp/scidqa

공식 코드

SciDQA: A Deep Reading Comprehension Dataset over Scientific Papers

https://github.com/yamanalab/gpt-augmented-news-recommendation

공식 코드

News Recommendation with Category Description by a Large Language Model

https://github.com/yan-hao-tian/ConTNet

공식 코드

ConTNet: Why not use convolution and transformer at the same time?

https://github.com/yan-xinyi/ssb_kpe

공식 코드

Enhancing Keyphrase Extraction from Academic Articles Using Section Structure Information

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