Video Retrieval On Activitynet

Métriques

text-to-video Median Rank

text-to-video R@1

text-to-video R@5

text-to-video R@50

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	text-to-video Median Rank	text-to-video R@1	text-to-video R@5	text-to-video R@50	Paper Title	Repository
HD-VILA	4	28.5	57.4	94	Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions
Singularity	-	47.1	75.5	-	Revealing Single Frame Bias for Video-and-Language Learning
RTQ	-	53.5	81.4	-	RTQ: Rethinking Video-language Understanding Based on Image-text Model
MMT-Pretrained	3.3	28.7	61.4	94.5	Multi-modal Transformer for Video Retrieval
Ours	-	25.4	59.1	-	Video and Text Matching with Conditioned Embeddings
CAMoE	1	51.0	77.7	-	Improving Video-Text Retrieval by Multi-Stream Corpus Alignment and Dual Softmax Loss
InternVideo	-	62.2	-	-	InternVideo: General Video Foundation Models via Generative and Discriminative Learning
DiffusionRet	2.0	45.8	75.6	-	DiffusionRet: Generative Text-Video Retrieval with Diffusion Model
X-CLIP	-	46.2	75.5	-	X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval
HiTeA	-	49.7	77.1	-	HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training	-
VALOR	-	70.1	90.8	-	VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset
CLIP4Clip	2	40.5	73.4	98.2	CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval
HBI	2.0	42.2	73.0	-	Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning
EMCL-Net	-	41.2	72.7	-	Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
EMCL-Net++	-	50.6	78.7	98.1	Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
COSA	-	67.3	-	-	COSA: Concatenated Sample Pretrained Vision-Language Foundation Model
DiffusionRet+QB-Norm	2.0	48.1	-	-	DiffusionRet: Generative Text-Video Retrieval with Diffusion Model
MMT	5	22.7	54.2	93.2	Multi-modal Transformer for Video Retrieval
CLIP-ViP	1	61.4	85.7	-	CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Representation Alignment
DMAE (ViT-B/32)	1.0	53.4	80.7	-	Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning	-

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