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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/zipengxuc/spectralclip

공식 코드

SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral Perspective

https://github.com/zipengxuc/stylerdalle

공식 코드

StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model

https://github.com/ziplab/litv2

공식 코드

Fast Vision Transformers with HiLo Attention

https://github.com/ziplab/qtool

공식 코드

AQD: Towards Accurate Fully-Quantized Object Detection

https://github.com/ziwei89/fbod

공식 코드

A Flying Bird Object Detection Method for Surveillance Video

https://github.com/ziweiwangthu/seernet

공식 코드

Learning Accurate Performance Predictors for Ultrafast Automated Model Compression

https://github.com/zixunh/3DGEER

공식 코드

3DGEER: Exact and Efficient Volumetric Rendering with 3D Gaussians

https://github.com/ziyueqingwan/localglobalattention

공식 코드

Local-Global Attention: An Adaptive Mechanism for Multi-Scale Feature Integration

https://github.com/ziyuey/cssstn

공식 코드

CSSSTN: A Class-sensitive Subject-to-subject Semantic Style Transfer Network for EEG Classification in RSVP Tasks

https://github.com/ziyuey/uncertainty-aware-human-machine-collaboration-in-camouflaged-object-identification

공식 코드

Uncertainty Aware Human-machine Collaboration in Camouflaged Object Detection

https://github.com/ziyujia/SalientSleepNet

공식 코드

SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging

https://github.com/ziyuzhao-zzy/logostylefool

공식 코드

LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer

https://github.com/zjlab-ammi/ckim

공식 코드

Towards Commonsense Knowledge based Fuzzy Systems for Supporting Size-Related Fine-Grained Object Detection

https://github.com/zjlab-ammi/demix

공식 코드

Use the Detection Transformer as a Data Augmenter

https://github.com/zjsong/sacl

공식 코드

Enhancing Sound Source Localization via False Negative Elimination

https://github.com/zju3dv/disprcnn

공식 코드

Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation

https://github.com/zju3dv/intrinsicnerf

공식 코드

IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis

https://github.com/zjuchenlong/wsag

공식 코드

Weakly-Supervised Temporal Article Grounding

https://github.com/zjukg/kg-mm-survey

공식 코드

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey

https://github.com/zjulearning/srdet

공식 코드

Suppress-and-Refine Framework for End-to-End 3D Object Detection

https://github.com/zjunlp/omnithink

공식 코드

OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking

https://github.com/zjw700/mus-cdb

공식 코드

MUS-CDB: Mixed Uncertainty Sampling with Class Distribution Balancing for Active Annotation in Aerial Object Detection

https://github.com/zjzwzw/ced-food

공식 코드

Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary

https://github.com/zk2172-columbia/boundless

공식 코드

Boundless: Generating Photorealistic Synthetic Data for Object Detection in Urban Streetscapes

https://github.com/zk2172-columbia/constellation-dataset

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Constellation Dataset: Benchmarking High-Altitude Object Detection for an Urban Intersection

https://github.com/zkawfanx/atlantis

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Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion

https://github.com/zkkli/psaq-vit

공식 코드

PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision Transformers

https://github.com/zkx06111/rediffusion

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ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval

https://github.com/zkytony/genmos_object_search

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A System for Generalized 3D Multi-Object Search

https://github.com/zl1994/IoU-Uniform-R-CNN

공식 코드

IoU-uniform R-CNN: Breaking Through the Limitations of RPN

https://github.com/zlh-thu/StealingVerification

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Defending against Model Stealing via Verifying Embedded External Features

https://github.com/zlichen/vectorformer

공식 코드

Learning High-resolution Vector Representation from Multi-Camera Images for 3D Object Detection

https://github.com/zllxot/core

공식 코드

CORE: Cooperative Reconstruction for Multi-Agent Perception

https://github.com/zmd971202/IronyGeneration

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A Neural Approach to Irony Generation

https://github.com/zn1010/peace

공식 코드

PEaCE: A Chemistry-Oriented Dataset for Optical Character Recognition on Scientific Documents

https://github.com/znhy1024/justilm

공식 코드

JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claims

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