What can human sketches do for object detection?
Sketches are highly expressive, inherently capturing subjective and fine-grained visual
cues. The exploration of such innate properties of human sketches has, however, been …
cues. The exploration of such innate properties of human sketches has, however, been …
Picture that sketch: Photorealistic image generation from abstract sketches
Given an abstract, deformed, ordinary sketch from untrained amateurs like you and me, this
paper turns it into a photorealistic image-just like those shown in Fig. 1 (a), all non-cherry …
paper turns it into a photorealistic image-just like those shown in Fig. 1 (a), all non-cherry …
Sketching without worrying: Noise-tolerant sketch-based image retrieval
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 …
problem (ie," I can't sketch") has however proven to be fatal for its widespread adoption. This …
Sketch2Saliency: learning to detect salient objects from human drawings
Human sketch has already proved its worth in various visual understanding tasks (eg,
retrieval, segmentation, image-captioning, etc). In this paper, we reveal a new trait of …
retrieval, segmentation, image-captioning, etc). In this paper, we reveal a new trait of …
Exploiting unlabelled photos for stronger fine-grained SBIR
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 …
putting forward a strong baseline that overshoots prior state-of-the art by 11%. This is not via …
Stylemeup: Towards style-agnostic sketch-based image retrieval
Sketch-based image retrieval (SBIR) is a cross-modal matching problem which is typically
solved by learning a joint embedding space where the semantic content shared between …
solved by learning a joint embedding space where the semantic content shared between …
More photos are all you need: Semi-supervised learning for fine-grained sketch based image retrieval
A fundamental challenge faced by existing Fine-Grained Sketch-Based Image Retrieval (FG-
SBIR) models is the data scarcity--model performances are largely bottlenecked by the lack …
SBIR) models is the data scarcity--model performances are largely bottlenecked by the lack …
Sketch3t: Test-time training for zero-shot sbir
Zero-shot sketch-based image retrieval typically asks for a trained model to be applied as is
to unseen categories. In this paper, we question to argue that this setup by definition is not …
to unseen categories. In this paper, we question to argue that this setup by definition is not …
Doodle it yourself: Class incremental learning by drawing a few sketches
The human visual system is remarkable in learning new visual concepts from just a few
examples. This is precisely the goal behind few-shot class incremental learning (FSCIL) …
examples. This is precisely the goal behind few-shot class incremental learning (FSCIL) …
Deep learning for free-hand sketch: A survey
Free-hand sketches are highly illustrative, and have been widely used by humans to depict
objects or stories from ancient times to the present. The recent prevalence of touchscreen …
objects or stories from ancient times to the present. The recent prevalence of touchscreen …