Tracking by siamese networks has achieved favorable performance in recent years.
However, most of existing siamese methods do not take full advantage of spatial-temporal …

Single image haze removal has been a challenging problem due to its ill-posed nature. In
this paper, we propose a simple but powerful color attenuation prior for haze removal from a …

Oriented object detection (OOD) aims to precisely detect the objects with arbitrary orientation
in remote sensing images (RSIs). Up to now, most of the bounding box regression (BBR) …

In this paper, we propose a novel nonlocal patch tensor-based visual data completion
algorithm and analyze its potential problems. Our algorithm consists of two steps: the first …

AdaBoost is a popular method for vehicle detection, but the training process is quite time-
consuming. In this paper, a rapid learning algorithm is proposed to tackle this weakness of …

Blindness prevents a person from gaining knowledge of the surrounding environment and
makes unassisted navigation, object recognition, obstacle avoidance, and reading tasks a …

Sign language recognition aims to recognize meaningful movements of hand gestures and
is a significant solution in intelligent communication between the deaf community and …

Weakly supervised object detection in remote sensing images (RSI) is still a challenge
because of the lack of instance-level labels, and many existing methods have two problems …

Image inpainting refers to the process of restoring the mask regions of damaged images.
Existing inpainting algorithms have exhibited outstanding performance on certain inpainting …

The detection results of many existing co-saliency detection methods are easily interfered by
the unrelated salient objects, which have similar appearance characteristics to co-salient …