Home Console Docs News Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

Zero Shot Learning On Cub 200 2011

Metrics

average top-1 classification accuracy

Results

Performance results of various models on this benchmark

		Paper Title	Repository
ZeroDiff	87.5	ZeroDiff: Solidified Visual-Semantic Correlation in Zero-Shot Learning	-
DUET	72.3	DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning
Composer	69.4	Compositional Fine-Grained Low-Shot Learning	-
HDC-ZSC-MLP	65.6	Zero-shot Classification using Hyperdimensional Computing	-
ZSL_TF-VAEGAN	64.9	Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification
HDC-ZSC	63.8	Zero-shot Classification using Hyperdimensional Computing	-
SPOT	62.9	Synthetic Sample Selection for Generalized Zero-Shot Learning	-
f-VAEGAN-D2	61.0	f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning	-
TCN	59.5	Transferable Contrastive Network for Generalized Zero-Shot Learning	-
LisGAN	58.8	Leveraging the Invariant Side of Generative Zero-Shot Learning
Cycle-WGAN	58.6	Multi-modal Cycle-consistent Generalized Zero-Shot Learning
f-CLSWGAN	57.3	Feature Generating Networks for Zero-Shot Learning
ZLaP*	-	Label Propagation for Zero-shot Classification with Vision-Language Models
ZLaP	-	Label Propagation for Zero-shot Classification with Vision-Language Models

0 of 14 row(s) selected.

Zero Shot Learning On Cub 200 2011 | SOTA | HyperAI