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connect-caption-and-trace

A unified framework to jointly model images, text, and human attention traces.

controllable_xgating

ICCV2019: Controllable Video Captioning with POS Sequence Guidance Based on Gated Fusion Network

coot-videotext

COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning

cotnet

This is an official implementation for "Contextual Transformer Networks for Visual Recognition".

ddcap

decap

ICLR 2023 DeCap: Decoding CLIP Latents for Zero-shot Captioning

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

dense-video-captioning-pytorch

Second-place solution to dense video captioning task in ActivityNet Challenge 2020

densecap

denseclip

DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

dhm

[CVPR 2020] Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives

diffusers

GLIGEN fork of 🤗 Diffusers

diffusion-classifier

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

dino

Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

dks

Deeply-supervised Knowledge Synergy (CVPR'2019)

dynamicvit

[NeurIPS 2021] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

emscore

Research code for CVPR 2022 paper: "EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching"

fast-knn-nmt

fast_align

Simple, fast unsupervised word aligner

fastbpe

Fast BPE

flagai

FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.

gen-vlkt

Code for our CVPR 2022 Paper "GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection"

gligen

Open-Set Grounded Text-to-Image Generation

gnn-lm

hard-prompts-made-easy

hmn

[CVPR2022] Official code for Hierarchical Modular Network for Video Captioning. Our proposed HMN is implemented with PyTorch.

hyperformer

if

image-captioning-dlct

Official pytorch implementation of paper "Dual-Level Collaborative Transformer for Image Captioning" (AAAI 2021).