Papers with Code · CC BY-SA 4.0

Pavia University

아카이브 평가 33건 · 마지막 적재/변경 2026-10-30

평가 기록

과거 수집 기록이며 최신 순위가 아닙니다. 데이터셋 버전·split·실험 조건과 지표 방향이 검증되지 않은 결과는 직접 비교할 수 없습니다. 날짜는 논문 날짜이며 최신 평가일을 뜻하지 않습니다.

표가 화면보다 넓으면 좌우로 스크롤하여 논문과 구현 링크를 확인하세요.

원본 기록 순서 · 순위 미부여
모델	원본 지표·값	논문	구현
RPNet-RF	OA@15perclass 95.60	Small Sample Hyperspectral Image Classification Based on the Random Patches Network and Recursive Filtering 2023-02-23	코드 1
TC-GAN	OA@15perclass 93.20±0.59	Generative Adversarial Networks Based on Transformer Encoder and Convolution Block for Hyperspectral Image Classification 2022-07-16	연결 없음
HyLITE	OA@15perclass 91.28	Locality-Aware Hyperspectral Classification 2023-09-04	코드 1
DCFSL	OA@15perclass 90.71±0.56	Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification 2022-06-30	코드 1
IFRF	OA@15perclass 88.38	Feature Extraction of Hyperspectral Images With Image Fusion and Recursive Filtering 2013-09-16	연결 없음
S-DMM	OA@15perclass 88.30±1.03	Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification 2019-10-30	코드 1
RPNet	OA@15perclass 84.92	Hyperspectral image classification via a random patches network 2018-05-22	코드 1
3D VS-CNN	OA@15perclass 81.63±1.81	Hyperspectral Image Classification of Convolutional Neural Network Combined with Valuable Samples 2020-06-01	연결 없음
2D-CNN	OA@15perclass 77.53±1.50	Deep supervised learning for hyperspectral data classification through convolutional neural networks 2015-07-26	코드 1
CA-GAN	OA@15perclass 76.81±0.91	Generative Adversarial Networks Based on Collaborative Learning and Attention Mechanism for Hyperspectral Image Classification 2020-04-03	연결 없음
HSI-BERT	OA@15perclass 75.31±1.59	HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers 2019-09-04	연결 없음
3D-CNN	OA@15perclass 75.24±0.84	Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network 2017-01-13	코드 1
JigsawHSI	Overall Accuracy 100.00	JigsawHSI: a network for Hyperspectral Image classification 2022-06-06	코드 1
STNet	Overall Accuracy 100	Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive Gating 2025-06-10	코드 1
WCNet	Overall Accuracy 100	3D Wavelet Convolutions with Extended Receptive Fields for Hyperspectral Image Classification 2025-04-15	코드 1
SpectralNET	Overall Accuracy 99.99%	SpectralNET: Exploring Spatial-Spectral WaveletCNN for Hyperspectral Image Classification 2021-04-01	코드 1 · 코드 2
Deep Matrix Capsules	Overall Accuracy 99.99%	Hyperspectral Image Classification Using Deep Matrix Capsules 2023-02-02	코드 1
KANet	Overall Accuracy 99.99	Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification 2025-04-21	코드 1
SGDSCNet	Overall Accuracy 99.99	Spatial-Geometry Enhanced 3D Dynamic Snake Convolutional Neural Network for Hyperspectral Image Classification 2025-04-06	코드 1
MVNet	Overall Accuracy 99.98	MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture 2025-07-06	코드 1
EKGNet	Overall Accuracy 99.98	Expert Kernel Generation Network Driven by Contextual Mapping for Hyperspectral Image Classification 2025-04-17	코드 1
SSDGL	Overall Accuracy 99.97% Kappa@1% 0.9996	A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification 2021-05-29	코드 1
FSKNet	Overall Accuracy 99.96%	Faster hyperspectral image classification based on selective kernel mechanism using deep convolutional networks 2022-02-14	코드 1
A2S2K-ResNet	Overall Accuracy 99.85	Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification 2020-12-24	코드 1
FPGA	Overall Accuracy 99.81% OA@200 99.81 AA@200 99.83 Kappa@200 0.9974	FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification 2020-11-11	코드 1
CVSSN	Overall Accuracy 99.68±0.06% OA@5%perclass 99.68±0.06% AA@5%perclass 99.52±0.17% Kappa@5%perclass 0.9957±0.0009	Exploring the Relationship between Center and Neighborhoods: Central Vector oriented Self-Similarity Network for Hyperspectral Image Classification 2022-10-31	코드 1
A-SPN	Overall Accuracy 99.65%	Attention-Based Second-Order Pooling Network for Hyperspectral Image Classification 2021-01-14	코드 1
WCRN	Overall Accuracy 99.43%	Wide Contextual Residual Network with Active Learning for Remote Sensing Image Classification 2018-07-22	코드 1
St-SS-pGRU	Overall Accuracy 98.44%	Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification 2018-10-30	코드 1
AMS-M2ESL	Overall Accuracy 98.09±0.30% OA@1%perclass 98.09±0.30% AA@1%perclass 97.86±0.47% Kappa@1%perclass 0.9747±0.0039	Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image Classification 2023-04-07	코드 1