11 accepted papers
In semi-supervised semantic segmentation (SSSS), segmentation performance is heavily constrained by the quality of pseudo labels. However, prevalent pseudo-label optimization approaches rely on the model’s internal self-correction. When the model fails to recognize or adequately represent certain cl
Unsupervised semantic segmentation algorithms aim to identify meaningful semantic groups without annotations. Recent approaches leveraging self-supervised transformers as pre-training backbones have successfully obtained high-level dense features that effectively express semantic coherence. However,…
Multi-intent spoken language understanding (SLU) can handle multiple intent utterances in real-world scenarios, which has gained increasing research attention. Despite promising results achieved by existing joint models, they (1) perform utterance-level or token-level intent detection, resulting in…
Conventional image outpainting methods usually treat unobserved areas as unknown and extend the scene only in terms of semantic consistency thus overlooking the hidden information in shadows cast by unobserved areas such as the invisible shapes and semantics. In this paper we propose to extract and…
Weakly supervised semantic segmentation (WSSS) with image-level annotations has achieved great processes through class activation map (CAM). Since vanilla CAMs are hardly served as guidance to bridge the gap between full and weak supervision, recent studies explore semantic representations to make C…
Multi-view deep classification expects to obtain better classification performance than using a single view. However, due to the uncertainty and inconsistency of data sources, adding data views does not necessarily lead to the performance improvements in multi-view classification. How to avoid worse…
The occlusion problem heavily degrades the localization performance of face alignment. Most current solutions for this problem focus on annotating new occlusion data, introducing boundary estimation, and stacking deeper models to improve the robustness of neural networks. However, the performance de…
Cell morphology plays an important role in maintaining normal cellular functions. Existing techniques for cell morphology measurement, such as confocal imaging and atomic force microscopy, have the limitations of photobleaching and incompatibility for integration with other cell manipulation instrum
Embryo vitrification is an essential cryopreservation technique in IVF (in vitro fertilization) clinics. Vitrification involves pick-and-place of an embryo in multiple types of cryoprotectant solutions for processing before placing the embryo on a vitrification straw for cryopreservation in liquid n
Mammalian sperms reorient against fluid flow in the female reproductive tract, known as rheotaxis. Compared to chemotaxis that provides short-distance guidance, rheotaxis provides long-distance guidance for a sperm to find the egg cell. However, only a low number of sperms are capable of rheotaxis a
This paper contributes to the understanding of the fundamental properties of rectilinearly locomotion of an one-dimensional system travelling on the horizontal plane, where dry Coulomb friction acting between it and surface. We discuss an approximate steady-state motion on a simplified two-segment s…