Frozen CLIP-DINO: a Strong Backbone for Weakly Supervised Semantic Segmentation.

Weakly supervised semantic segmentation has witnessed great achievements with image-level labels. Several recent approaches use the CLIP model to generate pseudo labels for training an individual segmentation model, while there is no attempt to apply the CLIP model as the backbone to directly segment objects with image-level labels. In this paper, we propose WeCLIP and its advanced version WeCLIP+, to build the single-stage pipeline for weakly supervised semantic segmentation.

Detail Preserving Coarse-to-Fine Matching for Stereo Matching and Optical Flow.

The Coarse-To-Fine (CTF) matching scheme has been widely applied to reduce computational complexity and matching ambiguity in stereo matching and optical flow tasks by converting image pairs into multi-scale representations and performing matching from coarse to fine levels. Despite its efficiency, it suffers from several weaknesses, such as tending to blur the edges and miss small structures like thin bars and holes. We find that the pixels of small structures and edges are often assigned with wrong disparity/flow in the upsampling process of the CTF framework, introducing errors to the fine levels and leading to such weaknesses.

Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation.

Weakly supervised semantic segmentation is receiving great attention due to its low human annotation cost. In this paper, we aim to tackle bounding box supervised semantic segmentation, i.e.

Discriminative Triad Matching and Reconstruction for Weakly Referring Expression Grounding.

In this paper, we are tackling the weakly-supervised referring expression grounding task, for the localization of a referent object in an image according to a query sentence, where the mapping between image regions and queries are not available during the training stage. In traditional methods, an object region that best matches the referring expression is picked out, and then the query sentence is reconstructed from the selected region, where the reconstruction difference serves as the loss for back-propagation. The existing methods, however, conduct both the matching and the reconstruction approximately as they ignore the fact that the matching correctness is unknown.

Multiview video plus depth transmission via virtual-view-assisted complementary down/upsampling.

Multiview video plus depth is a popular 3D video format which can provide viewers a vivid 3D feeling. However, its requirements in terms of computational complexity and transmission bandwidth are more than that of conventional 2D video. To mitigate these limitations, some works have proposed to reduce the amount of transmitted data by adopting different resolutions for different views, and consequently, the transmitted video is called mixed resolution video.

[PROGRESS OF ALGINATE DERIVATIVES BASED ON BIOMEDICAL MATERIALS].

Objective: To summarize the current research status of alginate derivatives based on biomedical materials, and analyze several key points as novel clinical products.

Methods: The general preparation and application methods of alginate derivatives based on biomedical materials at home and abroad were reviewed. The present status and problems were analyzed.