Meshed-Memory Transformer for Image Captioning. CVPR 2020
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Updated
Dec 21, 2022 - Python
Meshed-Memory Transformer for Image Captioning. CVPR 2020
A neural network to generate captions for an image using CNN and RNN with BEAM Search.
Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions. CVPR 2019
[ICLR 2026] An official implementation of "CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning"
Official Repository of OmniCaptioner
A 100% free & open-source AI Content Automation Tool that writes scripts, generates voiceovers, creates videos, and uploads them automatically — hands-free YouTube growth powered by AI.
[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans
[T-PAMI 2024] & [CVPR 2023] Vote2Cap-DETR; A set-to-set perspective towards 3D Dense Captioning; State-of-the-Art 3D Dense Captioning methods
ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model, a unified and user-friendly shape-language model
CVPR 2018 - Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present
Computer Vision Playground ⚡️
[ECCV2022] D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding
Implemented 3 different architectures to tackle the Image Caption problem, i.e, Merged Encoder-Decoder - Bahdanau Attention - Transformers
Deep CNN-LSTM for Generating Image Descriptions 😈
PyTorch library for Visual-Semantic tasks
Computer Vision: Generate captions that describe the contents of images using PyTorch
A powerful, browser-based tool for tagging, captioning, cropping and managing training datasets for AI image generation (Lora trainings).
To ease the driver to identify the Traffic Signs and also for the efficient working of Self-Driving Cars.
[IJCAI 2022] Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds (official pytorch implementation)
A deep learning model that generates descriptions of an image.
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