SOTAVerified

Sketch-Based Image Retrieval

Papers

Showing 1–25 of 110 papers

TitleStatusHype
Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch—0
Enhancing Product Search Interfaces with Sketch-Guided Diffusion and Language Agents—0
Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex InteractionsCode1
Freestyle Sketch-in-the-Loop Image Segmentation—0
Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt LearningCode0
Freeview Sketching: View-Aware Fine-Grained Sketch-Based Image Retrieval—0
Cross-Modal Attention Alignment Network with Auxiliary Text Description for zero-shot sketch-based image retrieval—0
ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token RecyclingCode0
SketchTriplet: Self-Supervised Scenarized Sketch-Text-Image Triplet Generation—0
Dual-Modal Prompting for Sketch-Based Image Retrieval—0
It's All About Your Sketch: Democratising Sketch Control in Diffusion ModelsCode1
Text-to-Image Diffusion Models are Great Sketch-Photo Matchmakers—0
How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval?—0
Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion Priors—0
Modality-Aware Representation Learning for Zero-shot Sketch-based Image RetrievalCode0
Symmetrical Bidirectional Knowledge Alignment for Zero-Shot Sketch-Based Image RetrievalCode0
Active Learning for Fine-Grained Sketch-Based Image Retrieval—0
A Recipe for Efficient SBIR Models: Combining Relative Triplet Loss with Batch Normalization and Knowledge Distillation—0
Adapt and Align to Improve Zero-Shot Sketch-Based Image Retrieval—0
LogoNet: a fine-grained network for instance-level logo sketch retrievalCode0
If At First You Don't Succeed: Test Time Re-ranking for Zero-shot, Cross-domain Retrieval—0
Sketch-an-Anchor: Sub-epoch Fast Model Adaptation for Zero-shot Sketch-based Image Retrieval—0
What Can Human Sketches Do for Object Detection?—0
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable StyleCode1
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR—0
Show:102550
← PrevPage 1 of 5Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EdgeMAC + whiteningR@185.6—Unverified
2Chairs net + CFF + HOLEFR@181.4—Unverified
3Chairs net +R@172.2—Unverified
4Shoes net +R@165—Unverified
5CCA-3V-HOG + PCAR@153.2—Unverified
6Dense-HOG + rankSVMR@152.6—Unverified
7Sketch-a-Net + rankSVMR@147.4—Unverified
8BoW-HOG + rankSVMR@128.9—Unverified
#ModelMetricClaimedVerifiedStatus
1EdgeMAC + whiteningR@151.2—Unverified
2Handbags net + CFF + HOLEFR@149.4—Unverified
3Handbags netR@139.9—Unverified
4Chairs net +R@126.2—Unverified
5Shoes net +R@123.2—Unverified
6Dense-HOG + rankSVMR@115.5—Unverified
7Sketch-a-Net + rankSVMR@19.5—Unverified
8BoW-HOG + rankSVMR@12.4—Unverified
#ModelMetricClaimedVerifiedStatus
1EdgeMAC + whiteningR@154.8—Unverified