HyperAI

Zero Shot Action Recognition On Hmdb51

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Top-1 Accuracy

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname
Top-1 Accuracy
Paper TitleRepository
AURL39Alignment-Uniformity aware Representation Learning for Zero-shot Video Classification-
VicTR (ViT-B/16)51.0VicTR: Video-conditioned Text Representations for Activity Recognition-
SPOT35.9Synthetic Sample Selection for Generalized Zero-Shot Learning-
JigsawNet38.7Rethinking Zero-shot Action Recognition: Learning from Latent Atomic Actions
LoCATe-GAT50.7LoCATe-GAT: Modeling Multi-Scale Local Context and Action Relationships for Zero-Shot Action Recognition
X-CLIP44.6Expanding Language-Image Pretrained Models for General Video Recognition
SJE(word embedding)13.3Evaluation of Output Embeddings for Fine-Grained Image Classification
TC-CLIP56.0Leveraging Temporal Contextualization for Video Action Recognition
Text4Vis58.4Revisiting Classifier: Transferring Vision-Language Models for Video Recognition
MTE19.7Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation-
MOV (ViT-B/16)60.8Multimodal Open-Vocabulary Video Classification via Pre-Trained Vision and Language Models-
O2A15.6Objects2action: Classifying and localizing actions without any video example-
VideoCoCa58.7VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners-
TS-GCN23.2I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs
MSQNet-Actor-agnostic Multi-label Action Recognition with Multi-modal Query
BIKE61.4Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models
OTI(ViT-L/14)64Orthogonal Temporal Interpolation for Zero-Shot Video Recognition
IMP-MoE-L59.1Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception-
ESZSL18.5--
ER-ZSAR35.3Elaborative Rehearsal for Zero-shot Action Recognition
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