Exploring Shape Embedding for Cloth-Changing Person Re-Identification via 2D-3D Correspondences

Cloth-Changing Person Re-Identification (CC-ReID) is a common and realistic problem since fashion constantly changes over time and people's aesthetic preferences are not set in stone. While most existing cloth-changing ReID methods focus on learning cloth-agnostic identity representations from coarse semantic cues (e.g. silhouettes and part segmentation maps), they neglect the continuous shape distributions at the pixel level. In this paper, we propose Continuous Surface Correspondence Learning (CSCL), a new shape embedding paradigm for cloth-changing ReID. CSCL establishes continuous correspondences between a 2D image plane and a canonical 3D body surface via pixel-to-vertex classification, which naturally aligns a person image to the surface of a 3D human model and simultaneously obtains pixel-wise surface embeddings. We further extract fine-grained shape features from the learned surface embeddings and then integrate them with global RGB features via a carefully designed cross-modality fusion module. The shape embedding paradigm based on 2D-3D correspondences remarkably enhances the model's global understanding of human body shape. To promote the study of ReID under clothing change, we construct 3D Dense Persons (DP3D), which is the first large-scale cloth-changing ReID dataset that provides densely annotated 2D-3D correspondences and a precise 3D mesh for each person image, while containing diverse cloth-changing cases over all four seasons. Experiments on both cloth-changing and cloth-consistent ReID benchmarks validate the effectiveness of our method.Comment: Accepted by ACM MM 202

Imobilizacija tirozinaze na pustu od ugljičnih vlakana s (3-aminopropil)trietoksisilanom za protočnu elektrokemijsku detekciju fenolnih spojeva

Tyrosinase (TYR) was covalently immobilized onto amino-functionalized carbon felt (CF) surface via glutaraldehyde (GA). Prior to the TYR-immobilization, primary amino group was introduced to the CF surface by treatment with 3-aminopropyltriethoxysilane (APTES). The resulting TYR-immobilized CF was used as a working electrode unit of an electrochemical flow-through detector for mono- and di-phenolic compounds (i.e., catechol, p-cresol, phenol and p-chlorophenol). Additionally, flow injection peaks based on electroreduction of the enzymatically produced o-quinone species were detected at −0.05 V vs. Ag/AgCl. The resulting TYR/GA/APTES/CF biosensor responded well to all compounds tested with limits of detection range from 7.5 to 35 nmol l–1 (based on three times S/N ratio). Moreover, such modified electrode exhibits good stability and reproducibility for catechol. No serious degradation of the peak current was found over 30 consecutive injections. This work is licensed under a Creative Commons Attribution 4.0 International License.Tirozinaza (TYR) je kovalentno vezana na aminiranu površinu pusta izrađenog od ugljičnih vlakana (CF) s pomoću glutaraldehida (GA). Prije imobilizacije tirozinaze primarna amino-skupina uvedena je na ugljična vlakna (3-aminopropil)trietoksisilanom (APTES). CF s imobiliziranom tirozinazom upotrijebljen je kao elektroda u protočnom elektrokemijskom detektoru jednostruko i dvostruko hidroksiliranih fenola (katehol, p-krezol, fenol, p-klorfenol). Pri − 0,05 V (u odnosu na Ag/AgCl) uočeni su protočni injekcijski signali elektroredukcije o-kinona nastalog enzimskom reakcijom. Biosenzor TYR/GA/APTES/CF dobro se odaziva za sve ispitane spojeve uz detekcijski limit od 7,5 do 35 nmol l–1 (tri puta veći signal od šuma). Modificirana elektroda stabilna je i pokazuje dobru reproducibilnost za katehol. Jakost struje signala nije se značajno smanjila ni nakon 30 uzastopnih injektiranja. Ovo djelo je dano na korištenje pod licencom Creative Commons Imenovanje 4.0 međunarodna