https://github.com/chengz3906/View-Discerning-Network
Learning Discriminative 3D Shape Representations by View Discerning Networks
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Learning Discriminative 3D Shape Representations by View Discerning Networks
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval
Efficient Image Retrieval via Decoupling Diffusion into Online and Offline Processing
Extending Context Window of Large Language Models via Positional Interpolation
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective
Declarative Experimentation in Information Retrieval using PyTerrier
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Detect-to-Retrieve: Efficient Regional Aggregation for Image Search
ECO: Efficient Convolutional Network for Online Video Understanding
ECO: Efficient Convolutional Network for Online Video Understanding
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)
PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition
Infinite Retrieval: Attention Enhanced LLMs in Long-Context Processing
Entropy-Based Decoding for Retrieval-Augmented Large Language Models
Writing in the Margins: Better Inference Pattern for Long Context Retrieval
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue
BM25S: Orders of magnitude faster lexical search via eager sparse scoring
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation
Tailoring and Evaluating the Wikipedia for in-Domain Comparable Corpora Extraction
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
VSE++: Improving Visual-Semantic Embeddings with Hard Negatives
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.