https://github.com/wyu97/permgen
Text Generation from Knowledge Graphs with Graph Transformers
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Text Generation from Knowledge Graphs with Graph Transformers
ConvTransformer: A Convolutional Transformer Network for Video Frame Synthesis
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
Learning to Generate Long-term Future via Hierarchical Prediction
Neural Machine Translation by Jointly Learning to Align and Translate
Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition
LED: LLM Enhanced Open-Vocabulary Object Detection without Human Curated Data Generation
SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning
M$^{2}$SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation
Suppress and Balance: A Simple Gated Network for Salient Object Detection
Towards Diverse Binary Segmentation via A Simple yet General Gated Network
LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation
GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving
Neural Machine Translation by Jointly Learning to Align and Translate
Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
Recurrent Back-Projection Network for Video Super-Resolution
Abstract Syntax Networks for Code Generation and Semantic Parsing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.