SOTAVerified

Compositional Zero-Shot Learning

Compositional Zero-Shot Learning (CZSL) is a computer vision task in which the goal is to recognize unseen compositions fromed from seen state and object during training. The key challenge in CZSL is the inherent entanglement between the state and object within the context of an image. Some example benchmarks for this task are MIT-states, UT-Zappos, and C-GQA. Models are usually evaluated with the Accuracy for both seen and unseen compositions, as well as their Harmonic Mean(HM).

( Image credit: Heosuab )

Papers

Showing 125 of 65 papers

TitleStatusHype
BatchFormer: Learning to Explore Sample Relationships for Robust Representation LearningCode2
Learning Clustering-based Prototypes for Compositional Zero-shot LearningCode1
Siamese Contrastive Embedding Network for Compositional Zero-Shot LearningCode1
Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot LearningCode1
Prompting Language-Informed Distribution for Compositional Zero-Shot LearningCode1
MSCI: Addressing CLIP's Inherent Limitations for Compositional Zero-Shot LearningCode1
Symmetry and Group in Attribute-Object CompositionsCode1
CAILA: Concept-Aware Intra-Layer Adapters for Compositional Zero-Shot LearningCode1
Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vision-Language UnderstandingCode1
Learning Conditional Attributes for Compositional Zero-Shot LearningCode1
Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot LearningCode1
Learning to Compose Soft Prompts for Compositional Zero-Shot LearningCode1
Learning Single/Multi-Attribute of Object with Symmetry and GroupCode1
Open World Compositional Zero-Shot LearningCode1
A causal view of compositional zero-shot recognitionCode1
Learning Graph Embeddings for Open World Compositional Zero-Shot LearningCode1
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot LearningCode1
Disentangling Visual Embeddings for Attributes and ObjectsCode1
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot LearningCode1
Learning Graph Embeddings for Compositional Zero-shot LearningCode1
Learning Attention as Disentangler for Compositional Zero-shot LearningCode1
Contextual Interaction via Primitive-based Adversarial Training For Compositional Zero-shot LearningCode0
Learning Invariant Visual Representations for Compositional Zero-Shot LearningCode0
Independent Prototype Propagation for Zero-Shot CompositionalityCode0
Attributes as Operators: Factorizing Unseen Attribute-Object CompositionsCode0
Show:102550
← PrevPage 1 of 3Next →

No leaderboard results yet.