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Found 4 papers, 3 papers with code
The All-Seeing Project V2: Towards General Relation Comprehension of the Open World
In addition, we design a new benchmark, termed Circular-based Relation Probing Evaluation (CRPE) for comprehensively evaluating the relation comprehension capabilities of MLLMs.
Ranked #30 on
Visual Question Answering
on MM-Vet
Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar Image Classification
In this letter, we take the advantage of active learning and propose active ensemble deep learning (AEDL) for PolSAR image classification.
Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification
With this architecture, the model gets a better performance and is more robust.
Ranked #11 on
Hyperspectral Image Classification
on Pavia University
(Overall Accuracy metric)
Wide Contextual Residual Network with Active Learning for Remote Sensing Image Classification
As it is very difficult and expensive to obtain class labels in real world, we integrate the proposed WCRN with AL to improve its generalization by using the most informative training samples.
Ranked #10 on
Hyperspectral Image Classification
on Pavia University
(Overall Accuracy metric)
