WebJan 16, 2024 · Video captioning is an advanced multi-modal task which aims to describe a video clip using a natural language sentence. The encoder-decoder framework is the most popular paradigm for this task in recent years. However, there still exist some non-negligible problems in the decoder of a video captioning model. WebClip4Caption (Tang et al. '21) ATP (Buch et al. ‘22) Contrast Sets (Park et al. ‘22) Probing Analysis VideoBERT (Sun et al. '19) ActBERT (Zhu and Yang '20) HTM (Miech et al. '19) MIL-NCE (Miech et al. '20) Pioneering work in Video-Text Pre-training Frozen (Bain et al. '21) Enhanced Pre-training Data MERLOT (Zeller et al. '21) MERLOT RESERVE ...
[2110.05204] CLIP4Caption ++: Multi-CLIP for Video …
WebCLIP4Caption: CLIP for Video Caption Video captioning is a challenging task since it requires generating sent... 0 Mingkang Tang, et al. ∙ share research ∙ 17 months ago CLIP4Caption ++: Multi-CLIP for Video Caption This report describes our solution to the VALUE Challenge 2024 in the ca... 0 Mingkang Tang, et al. ∙ share WebOct 11, 2024 · CLIP4Caption ++: Multi-CLIP for Video Caption. This report describes our solution to the VALUE Challenge 2024 in the captioning task. Our solution, named … the cliff lyons
Fengyun Rao DeepAI
WebCLIP4Clip extracts frames of images from the video at 1 FPS, the input video frames for each epoch come from the video’s fixed position. We improve the frames sampling method to the TSN sampling[34], which divides the video into K splits and randomly samples one frame in each split, thus increasing the sample random- ness on the limited data set. WebOct 11, 2024 · CLIP4Caption ++: Multi-CLIP for Video Caption. This report describes our solution to the VALUE Challenge 2024 in the captioning task. Our solution, named … WebModeling Multi-Channel Videos with Expert Features: MMT Multi-modal Transformer for Video Retrieval, ECCV 2024 7 Expert Features - OCR - Pre-trained scene text detector -> pre-trained text recognition model trained on Synth90K -> word2vec the cliff marsa