Weakly supervised object localization and detection: A survey
As an emerging and challenging problem in the computer vision community, weakly
supervised object localization and detection plays an important role for develo** new …
supervised object localization and detection plays an important role for develo** new …
Soft filter pruning for accelerating deep convolutional neural networks
This paper proposed a Soft Filter Pruning (SFP) method to accelerate the inference
procedure of deep Convolutional Neural Networks (CNNs). Specifically, the proposed SFP …
procedure of deep Convolutional Neural Networks (CNNs). Specifically, the proposed SFP …
Attention-based dropout layer for weakly supervised object localization
Abstract Weakly Supervised Object Localization (WSOL) techniques learn the object
location only using image-level labels, without location annotations. A common limitation for …
location only using image-level labels, without location annotations. A common limitation for …
Adversarial complementary learning for weakly supervised object localization
In this work, we propose Adversarial Complementary Learning (ACoL) to automatically
localize integral objects of semantic interest with weak supervision. We first mathematically …
localize integral objects of semantic interest with weak supervision. We first mathematically …
Exploit the unknown gradually: One-shot video-based person re-identification by stepwise learning
We focus on the one-shot learning for video-based person re-Identification (re-ID).
Unlabeled tracklets for the person re-ID tasks can be easily obtained by pre-processing …
Unlabeled tracklets for the person re-ID tasks can be easily obtained by pre-processing …
Style aggregated network for facial landmark detection
Recent advances in facial landmark detection achieve success by learning discriminative
features from rich deformation of face shapes and poses. Besides the variance of faces …
features from rich deformation of face shapes and poses. Besides the variance of faces …
Self-produced guidance for weakly-supervised object localization
Weakly supervised methods usually generate localization results based on attention maps
produced by classification networks. However, the attention maps exhibit the most …
produced by classification networks. However, the attention maps exhibit the most …
Progressive learning for person re-identification with one example
In this paper, we focus on the one-example person re-identification (re-ID) task, where each
identity has only one labeled example along with many unlabeled examples. We propose a …
identity has only one labeled example along with many unlabeled examples. We propose a …
Erasing integrated learning: A simple yet effective approach for weakly supervised object localization
Weakly supervised object localization (WSOL) aims to localize object with only weak
supervision like image-level labels. However, a long-standing problem for available …
supervision like image-level labels. However, a long-standing problem for available …
A novel self-training semi-supervised deep learning approach for machinery fault diagnosis
Fault diagnosis is an indispensable basis for the collaborative maintenance in prognostic
and health management. Most of existing data-driven fault diagnosis approaches are …
and health management. Most of existing data-driven fault diagnosis approaches are …