As more deep learning models are being applied in real-world application...
With the rise in popularity of video-based social media, new categories ...
With the wide and deep adoption of deep learning models in real applicat...
Since the vision transformer (ViT) has achieved impressive performance i...
Transformers have achieved tremendous success in various computer vision...
Transformer models have made tremendous progress in various fields in re...
Recently, vision transformers started to show impressive results which
o...
Hyperspectral image (HSI) classification has been a hot topic for decide...
We propose a generic feature compression method for Approximate Nearest
...
Road detection is a critically important task for self-driving cars. By
...
Hyperspectral images involve abundant spectral and spatial information,
...
Recently, much attention has been spent on neural architecture search (N...
Recently, hyperspectral image (HSI) classification approaches based on d...
In recent years, deep convolutional neural networks (CNNs) have shown
im...
Hyperspectral image(HSI) classification has been improved with convoluti...
In recent years, deep learning based methods have made significant progr...
This paper tackles the problem of video object segmentation. We are
spec...
Recently, neural architecture search (NAS) methods have attracted much
a...
Accuracy of depth estimation from static images has been significantly
i...
Different from RGB videos, depth data in RGB-D videos provide key
comple...