Sketching enables many exciting applications, notably, image retrieval. The fear-to-sketch
problem (ie," I can't sketch") has however proven to be fatal for its widespread adoption. This …

Matching hand-drawn sketches with photos (aka sketch-photo recognition or re-
identification) faces the information asymmetry challenge due to the abstract nature of the …

This paper advances the fine-grained sketch-based image retrieval (FG-SBIR) literature by
putting forward a strong baseline that overshoots prior state-of-the art by 11%. This is not via …

Sketch-based image retrieval (SBIR) utilizes sketches to search for images containing
similar objects or scenes. Due to the proliferation of touch-screen devices, sketching has …

Sketch-based understanding is involved in human communication and cognitive
development, making it essential in visual perception. A specific task in this domain is sketch …

Sketch re-identification (Re-ID) seeks to match pedestrians' photos from surveillance videos
with corresponding sketches. However, we observe that existing works still have two critical …

The recent focus on Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) has shifted
towards generalising a model to new categories without any training data from them. In real …

Sketch re-identification (Re-ID) refers to using sketches of pedestrians to retrieve their
corresponding photos from surveillance videos. It can track pedestrians according to the …

Sketch-photo recognition is a cross-modal matching problem whose query sets are sketch
images drawn by artists or amateurs. Due to the significant modality difference between the …

Cross-domain image retrieval has been extensively studied due to its high practical value. In
recently proposed unsupervised cross-domain image retrieval methods, efforts are taken to …